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Why DSCR second lien products are a ‘gold mine’ in a down market


Unlike a typical HELOC, the product does not look at the borrower’s income. Endter said that is the part many investors don’t know.

“I don’t need you to be working,” Endter said. “I don’t need you to have a million-dollar job. I don’t need you to be worried about your debt-to-income or the fact that you have 10 cars financed under your personal name. I just need to make sure that you have the qualifying credit and your house rents.”

Endter gave an example of how the math would work. A rental that brings in $3,000 a month, with $2,000 going to principal, interest, taxes, insurance, and HOA dues on the first mortgage, can take on a $1,000 monthly payment on the second and still hit a 1-to-1 ratio. The new and old payments together can equal the rent, and no more.

“There are so many people who are actually sitting on so much equity, and there are properties that cash flow, whether it’s short-term rental or long-term rental, and they can access their equity,” Endter said.

Investors, she said, tend to ask a short list of questions that don’t involve the mortgage rate.

How to Scale Your Business? || What is Ansoff Matrix? || Rahul Malodia



How can we grow our busines?
What are the steps to grow a business?
What is Ansoff Matrix?

In this video Rahul Malodia explains Ansoff Matrix and its applications. He tells about the four step by which a business travels. By explaining these steps of Market Penetration, Product development, Market development and Diversification he teaches the core business strategy. He sites example of TATA, Reliance, Patanjali etc. to explain these steps. Kindly watch the video to learn this technical matrix

#businessscaling #business #ansoffmatrix #matrix #businessstrategy #businesstips #businessschool #businessideas #businesscoach #businessgrowth #businessindia #businessknowledge #howtogrowbusiness #growingbusiness #rahulmalodia

Rahul Malodia is a professional CA, Management Consultant, And Business Coach. He started a revolution for Businessmen, with a mission in his eyes of Business Freedom. He begins with a basic session where you will find every aspect of your business. It is applicable to every business, be it big or small.

Mobile : +91 8209490260
Email : contact@rahulmalodia.com

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If California matched Texas on taxing property, it would raise more revenue than the billionaire tax



California voters will decide on Proposition 40 soon, but looming over the controversial billionaire wealth tax proposal is another state ballot measure from nearly 50 years ago.

In 1978, voters approved Proposition 13, which capped property taxes at just 1% of assessed value, limited annual hikes to 2%, and allowed reassessments to market value only after sales or substantial renovations.

It came amid a wider tax revolt leading up to Ronald Reagan’s election as president and an era of conservative governance in America. After Prop 13’s passage, the state had to find other ways to raise more revenue and relied more on taxing incomes, including capital gains. 

California now has the most progressive income-tax structure in the country with a top marginal rate of 13.3%. When combined with federal income tax rates, that can send the total to more than 50%.

The top 1% of earners account for up to half of state revenue, though it also means state coffers are volatile and swing on stock market returns. At the same time, the ultra-wealthy often don’t receive much income and instead leverage assets to finance their lifestyles, avoiding some taxes.

Now enter the billionaire tax, which calls for residents worth more than $1 billion to pay a one-time tax equivalent to 5% of their assets. The union pushing Prop 40 has said the wealth tax could raise $100 billion in revenue and help offset federal cuts to health spending.

Supporters point to the AI boom and say California’s ultra-rich would still be among the world’s wealthiest. Opponents have warned about the impact the tax could have on economic growth and startups. They have also said it would force founders to sell big pieces of their companies and eventually cause the wealthy to flee to another state, resulting in a net loss of revenue over time.

If California is looking for a large source of undertaxed wealth, “a much better, bigger target lies right beneath their feet,” according to Princeton economist Owen Zidar and University of Chicago Booth School of Business economist Eric Zwick, authors of the book The Everywhere Millionaire.

“The original sin underlying California’s tax structure is Prop 13, the 1978 law that rewrote the rules of property ownership,” they wrote in a recent New York Times op-ed. “Getting rid of it would be a more efficient and durable way to make the rich pay their fair share.”

Prop 13 also contributed to rapidly increasing home values, which have risen faster than property taxes. As a result, California homeowners pay an average of just 0.8% tax on their property, Zidar and Zwick estimated, generating $100 billion in revenue in fiscal 2025.

By contrast, Texas homeowners pay 2% on average. If California matched Texas, overall residential property tax revenue would more than double, while also easing home prices by around 13%, they added.

To be sure, property taxes in Texas have stirred their own voter revolt during the midterm election season. While the state doesn’t levy income taxes, Texans complain that the overall tax burden remains onerous due to property taxes, which are levied by local governments as well.

And getting rid of Prop 13 in California wouldn’t go down well with voters either as many would suffer big increases on their property taxes. Still, California’s tax base is already narrow, and Prop 40 would make it even more top-heavy. Meanwhile, the state plans to spend $540 billion this fiscal year.

“It is simply not possible to fund the state’s needs by leaning on a few hundred people, as politically appealing as that may be,” Zidar and Zwick argued. “For California to tax wealth in a progressive fashion and meaningfully improve its fiscal position, it needs to broaden the aperture beyond billionaires to the hundreds of thousands of other very wealthy people who could easily afford to contribute more by paying a real estate tax that finally works.”

Laura Tyson, a former White House economic adviser, and Lenny Mendonca, a former chief economic adviser to California Governor Gavin Newsom, warned billionaires respond strongly to estate taxes when deciding where to live.

Already, six billionaires who would have owed about one-quarter of Prop 40’s expected revenues left the state before the proposed effective date on the wealth tax, they pointed out in a Project Syndicate column.

And since Prop 40 proposes a new, untested method of taxation based on all assets, it would fuel a “tidal wave of litigation, rendering the promised funding both speculative and unreliable,” they wrote.

“Instead of a tax on billionaires, the U.S. needs to raise taxes on the capital income that feeds wealth,” Tyson and Mendonca argued. “There are a variety of ways to do so: through higher corporate tax rates; through taxes on realized and unrealized capital gains; by closing the most egregious loopholes, like carried interest; and by increasing inheritance taxes.”

Is the Housing Market About to Crash? What the Data (Actually) Shows


Is the housing market going to crash? Everywhere you turn, there seems to be another headline forecasting the next housing market meltdown. But what’s behind all the noise? Actual data? Or just fearmongering?

If the housing market is going to collapse, real estate investors want to know, which is why we’re giving you the “crash math” on today’s show—the data that can help predict the likelihood of a housing crash.

There are a few key indicators that can tell us the direction of the housing market, and if we had all of them in 2008, we would have seen the writing on the wall. So today, we’ll comb through multiple data sets, show you which figures matter most, and share our own predictions about a potential crash.

We’ll even revisit the 2008 Financial Crisis, the warning signs most people missed, and the aftermath. Then, we’ll compare the numbers, trends, and patterns to what we’re seeing in 2026.

Most people agree that this real estate market feels “stuck.” But is this “Great Stall” the calm before the storm or simply a lull we have to ride out before things improve?

Dave Meyer:
Is the real estate market going to crash? Every day, there’s a new headline screaming that it will, but people have also been saying that since 2012, that home prices are about to free fall and it hasn’t actually happened yet. So this is all confusing. And if you’re a real estate investor, it’s pretty important to know what’s real and what’s fake news. So I got you. I studied the housing market and today’s episode, I’m going to give you my opinion about a potential crash. And I’m also going to explain to you the data and the math behind a crash, because believe it or not, there are a few key indicators that can tell us if a housing crash is imminent. They predicted the crisis in 2008, and I’ve gathered all that data and will share what they’re saying today. So if you want to make sure you’re not buying a new property right before the crash or just not sure what to believe, keep watching.
These are the few key numbers that can foreshadow exactly what’s about to happen.
Hey everyone, welcome to the BiggerPockets Podcast. I am Dave Meyer. In addition to being an investor for 16 years now, I’m also an analyst. That was actually my first job at BiggerPockets. I have a graduate degree in data analytics, and I’m going to be honest, I really like doing this stuff. Spreadsheets are actually fun for me. I am one of those rare people, believe it or not. And for the last 10 years or so, I’ve focused my energy as an analyst on the housing market. And a big part of this effort of understanding what’s happening in the market is to calibrate and understand risk. For anyone who lived through the great financial crisis, the fear of another genuine housing crash is always on the mind. So from both an analytical perspective and because I own real estate, I don’t want to lose my shirt and therefore I spend a lot of time thinking about a potential crash.
And today I’m going to share with you what I know. I’ll give you my honest opinion at the end, but I also just want to show you all why I think the things I do, what indicators and data we can look at to get clues about the future of housing prices and what is likely to happen next. This is Real Estate Crash Math. Let’s get into it. First up, let’s just talk about the mechanics of a crash because it sounds like this big mysterious thing, but we can actually understand in real math and real economic theory how a crash actually happens. We’re going to do a little explainer of Econ 101. Prices in a market like what we have in the United States are determined by supply and demand. People probably know this and most of the time when you’re in a “normal time” for the housing market or really any other market, things are usually in relative balance and markets are stable.
Prices go up a little bit in one direction or the other. Total quantity or the volumes of homes sold in any given month go up and down a little bit, but they’re usually pretty predictable. But crashes can happen. They do obviously happen and they do when either supply or demand or both get a little bit out of whack. And specifically when prices go down and we see a crash, it happens with either a big increase in supply. So for housing, that’s way more houses getting listed on the market and sitting on the market. We measure these things through new listings and inventory in the housing market, but that’s a big increase in supply. The other thing that could happen is big decreases in demand when far fewer people want to buy a home. You could also see both. You could see increasing supply at the same time as you see decreasing demand.
And when any of these combinations happen, either huge increases in supply, big decreases in demand or modest changes in both supply and demand, prices can fall and they can fall really quickly. That’s a crash. This is exactly what happened in 2008. So in our conversation today, we need to frame it through this lens because a lot of people talk about crashes and they’re like, “It’s just too expensive and that is a factor in whether or not a crash is going to happen.” But ultimately, if a crash is going to happen, we will need to see these mechanics actually play out in the market. Will we see increasing supply? Will there be less demand? Those are the questions we have to answer for ourselves. And luckily, we have data to look at all of this. First up, we’re going to look at the demand side, which is again the buyer side.
Basically how many people are looking to buy homes? And this is a popular refrain that I hear all the time on social media that there are no buyers, that affordability in the housing market is terrible, and therefore the market is going to crash. And again, if there truly were no buyers in the housing market, of course the housing market would crash, but that’s not actually what’s happening as we approach the end of 2026. There’s actually a lot more nuance. So let’s actually dig into the data and talk about what’s going on. First, I like to look at something called pending sales. This is a great measure of what’s happening in the market because it’s the actual number of people that go out, sign a contract and intend to buy a home. This is real transactions happening. And recently we’ve seen some interesting moves in what’s going on in pending sales.
For the first half of the year, pending sales were doing just fine, but in the last couple of months, August, September, October, we’ve actually seen a pretty significant decline in pending sales, which tells us that demand is starting to go down. Now it is not in free fall, but we did see some significant numbers. It did go down in September, 11% year over year and 7% month over month. That’s a significant change, especially when you consider just that home transaction volume, the number of people buying homes was already low. So seeing it lower is concerning. And the other part about it that’s just kind of frustrating and a little bit disappointing is that in the beginning half the year, demand was up. We were seeing pending sales go up and that was encouraging and we were starting to get into better territory for the housing market.
But after the war in Iran started and mortgage rates started to go up, we have seen a reversal. So that is one way to look at demand. And I just want to call out that right now we only have a month or two of data. So if we start seeing month over month declines of pending sales at 7% again every month, that’s going to be a concern. That is something that could lead to a crash. But right now we see that it went down 7% month over month, and we also have some other data suggests that it’s not going to free fall. So there’s this other data set that we use to measure demand. It’s called the Purchase Demand Index. It’s put out by the Mortgage Bankers Association, but it basically measures how many people are applying to get a mortgage for a new home.
This isn’t refinancing, it’s just going out and buying a new home. And although that has fallen in recent months, it’s actually started to go back up. Just the last couple of weeks, mortgage rates have fallen and we’re seeing people jump back into the market. And that is encouraging to me. There is some fear when you start to see these things that people are really going to get nervous and they’re going to permanently leave the market. But instead, what we’re seeing is that people are just super mortgage rate sensitive, which makes sense, right? So now that we’re seeing mortgage rates back down in the low sevens instead of the high sevens, people are jumping back in. So to me, at this point, that doesn’t suggest we’re going to see pending sales fall every single month. And instead, we’re most likely going to see, yes, lower pending sales and lower demand than we had a year ago and maybe than we had in the first half of 2026.
But as of right now, there’s no reason to think that it’s going to just free fall and the bottom’s going to fall out. So given all that, the question that we have to ask ourselves is yeah, demand has gone down and it was already pretty low and it’s gone down a little bit more if that is going to lead to a crash. And I would say as of right now, the answer to that is no. And I know a lot of people are out there saying demand is already low, it went lower, that’s a reason for a crash. But that is not true because you can’t just take demand on its own and then predict a crash. You have to look at the balance between supply and demand. That is what matters. It is not the absolute amount of demand that matters. When you are looking at prices, if demand and supply stay in proportion to each other, even if they’re both low, prices can stay the same or more likely in the scenario they can go down but not crash.
And because demand is down a little bit, we need to see and ask ourselves, is supply also going to come down a little bit or what’s going on in the supply side of the equation? And so yeah, demand is weaker and there is a risk. I’m not saying that there is no risk here. Demand has gotten worse and that introduces new risk to the market, something that we need to keep an eye on. But if you’re asking here today as I’m recording this, is demand bad enough that a crash is imminent? I would say no. Now we should ask ourselves, could that change? Because of course it can, right?This stuff is always changing. The episode I’m recording is a point in time. And so there’s basically two risks that can change this and make it way worse. The first is probably obvious, but that’s just mortgage rates going up even higher.
They’ve been moving back down in the last couple of weeks, but if they went up to 8%, 9%, yeah, I think that’s serious risk. That gets us to maybe, I don’t know if it’s crash territory, but could we see five, 10% declines in home prices next year if we got to 9% mortgage rates? Yeah, we could. That world is possible. But as of right now, the bond market has stabilized a bit. We’ve seen mortgage rates go down a little bit. And so again, is that imminent? No, it doesn’t look like it. The other risk though is the labor market because we all hear the crazy negative scary things about AI stealing everyone’s jobs. And next year, instead of me, you could be hearing a robot host this podcast instead. And there’s risk, right? We don’t really know. These AI companies, their business model is kind of to cause mass unemployment.
And so we have to see if that’s going to come to fruition. And if we see unemployment go up to six, seven, 8%, then yeah, I do think we could see demand erode. That is a big risk, but that is speculation. Unemployment has fluctuated a bit over the last couple years, but still in the low fours, which for context is still very low. And so unless that changes and go up a lot, again, I don’t see imminent risk, but these are things to watch for. These are the things that I will continue to update you on on the show is if mortgage rates go higher, if labor market starts to crack, that could really take us into more dangerous territory. But as of right now, it doesn’t look like that’s coming in the next couple of months at least. And anything beyond that, we’re just speculating about what could happen.
The evidence does not support that that is happening. All right, so again, demand gotten worse, but not in a free fall, at least that we know of right now. We’ll keep an eye on that. But what about the supply side? Because again, either changes to supply or demand could put us into a crash and we need to look at the balance. This is the really important thing is looking at the combination of both and we know what’s going on with demand. We will look at the supply side right after this quick break. Stick with us.
Welcome back to the BiggerPockets Podcast. Today on the show, we’re doing crash map. We’re looking at the mechanics of how a crash actually works and not just fear mongering, not just saying things are going great. We’re going to look at the actual economics behind this. How do supply and demand look in the housing market? And then we can assess really what level of risk there is in the market. So we need to turn to the supply side now. And for that, we look at a couple of different data sets, but the two most important in my opinion are inventory and new listings. Inventory is just a measure of how many homes are for sale at any given point in the market. And that is super helpful because it is a measure of supply and demand at the same time. When inventory is going up, it means there is more supply than demand.
When inventory is going down, it is the opposite. And you can imagine why this is true, right? Because if inventory is going up, that means more homes are sitting on the market and people aren’t scooping them up and buying them. Right now, what we see is that inventory actually hasn’t gone up that much. So if you just look at where we are this year compared to last year, it’s surprisingly kind of flat, but I think it’s going to go up. Again, I am speculating. My job as a data analyst is to look at the data, figure out where things are trending, and my guess is that it is going to go up. Now, there are a couple reasons for this. First and foremost, inventory going up is something that we’ve been hoping for for years. So just keep that in mind, is that during the pandemic we had these artificially low levels of inventory and some reversion back to normal levels of inventory was inevitable.
We were already seeing that when mortgage rates were going down that the lock and effect was starting to break and people are starting to list their homes for sale more and more, and that’s good. I was happy about that. That gets us to a more balanced and a healthier housing market. But what I think is going to happen now is two different things with inventory, and it’s important to understand the distinctions here. First is that new listings are going to go down. Now, there’s two ways to measure inventory and supply on the housing market, and new listings is one of them. This is people who put their home or property on the market for the first time in a given month. The other one is active inventory. That’s the total amount of properties that are for sale at any given time. And so the first one just measures new properties.
The second one, active inventory, measures new properties plus all of the old properties that haven’t sold. And so what I see happening here with inventory is that new listings actually starting to go down. And I predicted this a couple months ago because when mortgage rate goes up, that lock-in effect that we’ve been talking about where sellers don’t want to sell because they have these amazing low mortgages that they don’t want to get rid of, that lock-in effect gets stronger, right? They have less of an incentive to sell right now if they’re going to have to go out and get a seven and a half percent mortgage. Plus affordability for buyers is lower, and so they’d probably have to take a lower price to sell their property. And so anyone who’s not forced to sell or is kind of on the fence about selling is just going to choose not to.
And so what we’re seeing, and I think will continue, is lower new listings. And when we think about the balance of supply and demand, I talked about before, when demand comes down, if supply comes down at the same time, prices can stay in equilibrium. And we are seeing lower new listings, but there’s a big but here. I do think that second category of active listings is going to go up because even though there are less new listings, the properties that do get listed are going to sit on the market longer. And so my expectations, I actually made these predictions over the summer publicly, and so far they have been correct, is that new listings would come down, but we would see active inventory go up. And when we see active inventory go up, I don’t think it’s going to be crazy because new listings are going down, but this could lead to price declines because we’re talking about the balance of supply and demand.
If we have more supply and less demand, we will get price declines. That’s just how it works. But it’s all relative. Are we seeing a huge reduction in demand and a huge increase in supply? No. We are seeing a reduction in demand and a modest increase in supply. And that to me is why we can expect modest declines in prices, but not a housing market crash. But of course, the fears people have are understandable at least because given what has happened in this country and the housing market over the last couple of decades, so you’re not wrong to wonder could that change in the future? Because the data, the new listings, the mortgage purchase applications, that helps us understand maybe a month or two or three in advance, but what about a year in advance or two years in advance? Could the things that happened in 2008 that not many people saw coming, could stuff like that be lurking in the background, not showing up in the data, could that come to bite us in the butt?
Because inventory looked fine in 2005, right? Well, luckily we have more data about that. We can look at some of the things that were brewing behind the scenes in 2008 and see if those are likely to happen again. And that data is mortgage delinquencies and foreclosures, because what happened in 2008 is not that all of a sudden a ton of people who own their home were happily living and doing whatever they do decided, I just want to sell my home right now, and they all did it at once. That is not what happened. What happened was that people fell behind on their mortgages and they were forced to sell. That is what ultimately drove up supply in 2008 is that people were going to get foreclosed on and they were forced to sell. And just a quick reminder of why that happened is there was very loose credit standards back then where basically anyone could go out and get a loan.
There were things called ninja loans, which are no income, no job kind of loans. They weren’t checking. People were just saying what their income was and it was really the wild, wild west. And another thing that happened during that time is a lot of those loans were adjustable rate mortgages. And so they would give what were called teaser rates. So the loan officers would go out and say, “Oh, you don’t have a job. Well, you’re going to pay 2% interest rate on this mortgage.” And people say, “Great, I can afford that.” But there were adjustable rate mortgages and then a year or two or three years later, whenever that interest rate adjust, all of a sudden those people who did not have a thorough vetting of whether they could pay back that mortgage couldn’t pay back that mortgage. And so they fell behind on their mortgages and ultimately many of them got foreclosed on.
And that created that spiral I talked about before. More supply hit the market that started to push home sales prices down slowly. People got spooked. Some demand left the market. That made home prices fall more than the layoff started and it created the spiral where supply was really up and demand was really down. And so let’s look at that. Is that likely to happen in 2026 or in the coming years? Well, as of right now, the evidence again says no. If you look at the delinquency rate, which I really see as the canary in the coal mine for another 2008 style crash. Now, could a crash materialize in a different way because of AI or something? Sure. Yeah, that can definitely happen. But forced selling is brought on by people falling behind on their mortgages as measured by delinquencies. And so when I look at the data, I can tell you right now that the national delinquency rate of mortgages is 3.53.
If you’re curious what it was in 2003 and 2004, it was above 4%, so it was higher than it is now. If you were curious where it was in 2008 and nine, it peaked at 10, 11%. So way, way, way higher. Now again, similar to new listings and inventory, people are going to say, “But delinquency rates are up.” Sure, they are up compared to 2021 and 2022 when there were mortgage forbearance programs and foreclosure moratoriums going on. That was a very unusual time in the housing market. So to compare today’s delinquency rate to 2022 does not make any sense. Of course, it is going to go up when those programs end. That is what’s to be expected. But if you look at the delinquency rate to say 2019, the last time we had a quote unquote normal housing market, it is below that level. So keep that in mind.
The delinquency rate in a historical context is still relatively low. Now, for a little while, it was starting to tick up, and I’ve said this on this show, I’ve said it on the market, that I would keep an eye on these things to let you know if these things change because to me, again, this is the canary in the coal mine. If we start to see delinquencies go up, the probability of a crash changes. We got to take one more quick break. We’ll be right back.
Welcome back to the BiggerPockets Podcast. I’m Dave Meyer, and today we’re talking about crash math. Right now, there are basically two sort of small areas of concern in the mortgage market, FHA loans and VA loans. Earlier this year, we saw the delinquency rate on FHA loans go up pretty considerably, but good news, those have actually started to level out. They’re still some of the highest they’ve been in the last 10 years or so, but seeing them start to level out, again, suggests that we are not in some sort of free fall where everything is going crazy. They went up and now they’re stabilizing. VA loans are sort of on a similar trajectory, but they haven’t leveled off. So we need to keep an eye on those, but just keep in mind that VA loans, FHA loans make up a pretty small portion of the mortgage market.
And so even if these go up a little bit, it’s not like it’s going to lead to some flood of delinquencies and foreclosures, but it is worth keeping an eye on. If you look at foreclosures, which are just sort of further down the funnel than delinquencies, they’re ones that don’t get cured and actually get auctioned off or short saled or whatever. And if you look at those, the same pattern is existing. They are gone up from pre-pandemic lows when there are all these programs in place, but they’re already starting to level off. They’re elevated from last year. You will see things that foreclosures are up 20 or 30% year over year. Those things are true. That is accurate. But the foreclosure rate in a historical context is still very reasonable. You cannot compare a time period where the government was saying you can’t foreclose on people to right now and say, “Hey, look, foreclosures went up.” That’s ridiculous, right?
You got to compare it to historical records. And right now, foreclosure rates look okay. I personally think they’ll probably keep going up. I’m not that worried about that. Will they go up to reversion to the mean to get closer to the average? Probably. You’ll probably still see some more headlines about it. But the idea that there is forced selling and a foreclosure crisis could be around the corner, again, it could happen if the unemployment rate goes crazy, but evidence right now, no. But we can even actually go one step further because you could, as a crazy analyst who wants to understand everything, do you want to understand what a lead indicator is for delinquencies? Can we look forward and see if delinquencies are likely? It’s not perfect, but there are some data sets we can look at. I like looking at credit quality, which is basically just like who are taking out mortgages and how good are their credit scores.
And check this baby out. I’m going to put this up for anyone who’s looking at this on YouTube, but you could just see this chart. It shows the average credit score of people who are taking out mortgages over time. It goes all the way back to 2003 to now. So it’s the last 23 years of data. And what you can see on this chart is that subprime mortgages where people have a credit score of 620 or less, basically disappear. I would have to take out a magnifying glass to look at this chart to be able to see the little line there at the bottom where subprime mortgages are. They basically do not exist. Even the loans to people who are in the 620 to 660 range, extremely low. By far, the biggest group, and I will say this is well above half of people who are taking out mortgages, not just now, but for the last 10 years or so, have a credit score of 760 or better.
Think about that. That is an elite level credit score. That is who is taking out mortgages. And that does not mean they’re immune from financial trouble. There are a lot of problems with credit scores. They’re not a perfect measure. But if you look at that alone and you say, are the things that led to the 2008 crash likely to happen again where subprime loans or people who couldn’t pay back their mortgages even when they got those mortgages, is that going to take down the housing market? Super, super, super unlikely. Subprime loans are gone. Credit quality is good. So when we look at all of this data together and ask ourselves, could a crash happen? Yeah, of course. To me, as I said, the risk is really in the labor market going south. If people start to lose their jobs in a serious way due to AI or anything else, that changes things.
That’s why I said at the beginning of this year, if you listen to some of my prediction episodes, I said that the probability of a crash was like 10%. It’s always like five or 10%. There’s always a chance that these things happen. It’s probably actually lower than that given we’ve had one real crash in the last hundred years. You could argue that it’s a 1% chance. I think it’s a little bit higher than that just because affordability is low. But that’s mostly emotional though, me saying 10%, because when you look at the data, really no evidence that it’s around the corner. So for 2026 at least, 10 at the most, I think, probability of a crash. For 2027, might be a little higher just because it’s further out. The risk is always higher the further out because your predictions are less good. But for now, just think about it.
Supply and demand, right? Demand is up, supply is up a little bit. This is the environment for relatively flat prices. It’s why I’ve been calling this the great stall because even though supply and demand are low, neither one of them is moving in either direction, and that is a perfect example of when prices stay flat. Now over the next year, are they going to go up a little bit, down a little bit, one or 2% in either direction? Sure. Yeah, but probably pretty flat. We’re in the great stall and no one knows what the future brings but evidence, which is the best thing we can do. All we can do is look at data and evidence and make informed decision, and the evidence suggests a crash remains very unlikely. All the other headlines you’re hearing are people who are reacting based on emotion, who don’t understand how housing market works or deliberately trying to mislead you.
The data is actually pretty clear about this today despite those headlines. So although I never tell you what will happen, I always try and tell you what will happen in probabilities. You may notice that, but I have been trained to say that as an analyst, you say this is the most likely thing to happen, this is the least likely thing to happen because no one knows. That is the only honest answer. But from where I sit, the probability of a crash in 2026 remains very low. Hopefully now that you understand some of the data and mechanics behind how a crash can happen, you can see this for yourself, and if you want to, you can track it for yourself. But I also give housing market updates on this podcast one time per month, and at the end of each of those episodes, I do a risk report, and you can check that out where I talk about the risk of a crash because I’m not trying to hide this from anyone.
If there is a crash coming and I thought that, I would tell you. I promise you I would tell you that. But for the last four or five years, I’ve been pretty right about the direction of housing prices. I said they would still go up in 2023, even though people were freaking out about mortgage rates. In 2024, I said they would go up modestly. I said they’d be close to flat last year. Those have all been right. I’ve said it’s going to be flat, maybe a little bit down this year. That’s looking pretty right right now too. I’m not trying to brag there will be a time that I am wrong, but I do give you my honest assessment. I am not trying to hide information here, and a flat market going forward is my honest assessment of what is most likely to happen. Stability and projecting out with a decent degree of confidence what’s likely to happen is all you can ask for as an investor to make decisions by, and hopefully this episode has helped you do just that.
Thank you all so much for watching this episode of the BiggerPockets Podcast. I’m Dave Meyer and I’ll see you next time.

 

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Dunkin/Wendy’s/Burger King, Spend $5 & Get $5 Back


The Offer

This shows under Capital One offers (the offers in the credit card login)

  • Capital One offers is offering $5/500 points back when you spend $5+ at Dunkin/Wendy’s/Burger King

The Fine Print

  • Shop In-Store & In-App
  • Use by Friday, November 6th

Our Verdict

Looks like you can do the offer once at each merchant. Basically a free $15. 

Starting an AI Side Hustle is Easy (Steal This System)


Opinions expressed by Entrepreneur contributors are their own.

Key Takeaways

  • Discover seven surprising ways AI can help you build and run a one-person business.
  • See how to turn a business bottleneck into a clear assignment for an AI specialist.
  • Explore app building, customer recovery and AI teamwork without hiring staff or writing code.

What could you build if your one-person business had the capabilities of a team? A working app, a customer-recovery campaign or a clearer picture of what’s driving revenue could start with an assignment you give AI.

In the video above, I demonstrate seven practical possibilities, including AI operating browser-based tools, handing work to Lovable and coordinating specialist agents. You’ll see how these capabilities connect to business jobs you can recognise in your own day.

The starting point is a defined outcome. Give AI relevant context, clear boundaries and a result to work toward, and you can begin delegating the steps that move a job forward.

That could mean investigating a change in sales, preparing customer follow-ups or building an internal tool. You set the direction and approval points; each AI specialist gets a useful responsibility.

In The Wolf Is at The Door, I identified AI delegation as a skill that would help people adapt. These demonstrations show what that looks like in practice, from the initial job brief to the handoff between tools.

An Intuit QuickBooks article citing its 2026 AI Impact Report reports that 78% of U.S. businesses said AI improved productivity and 43% said it increased revenue. Your starting point can be one workflow where the benefit is easy to check.

Think of the app you’ve postponed, the customers you want to reconnect with or the reporting that takes you away from building your business.

Watch the video above for all seven experiments, the customer-recovery job brief, the ChatGPT-to-Lovable handoff and the revenue-diagnosis assignment I would delegate first.

Choose one example that fits your business. It could become the first job your AI team takes on.

The free AI Success Kit, available to download for a limited time, comes with a free chapter from my new book, The Wolf is at The Door – How to Survive and Thrive in an AI-Driven World.

Key Takeaways

  • Discover seven surprising ways AI can help you build and run a one-person business.
  • See how to turn a business bottleneck into a clear assignment for an AI specialist.
  • Explore app building, customer recovery and AI teamwork without hiring staff or writing code.

What could you build if your one-person business had the capabilities of a team? A working app, a customer-recovery campaign or a clearer picture of what’s driving revenue could start with an assignment you give AI.

In the video above, I demonstrate seven practical possibilities, including AI operating browser-based tools, handing work to Lovable and coordinating specialist agents. You’ll see how these capabilities connect to business jobs you can recognise in your own day.

The starting point is a defined outcome. Give AI relevant context, clear boundaries and a result to work toward, and you can begin delegating the steps that move a job forward.

Oklo Is 86% Below Its All-Time High. Should You Buy at $27 or Wait?


Nuclear energy investors have one question on their minds: What the heck is going on with Oklo (OKLO -5.82%)?

The poster child of artificial intelligence energy, the driving force behind the “nuclear renaissance” (remember that?), the company challenging our conventional image of nuclear power as a sprawling industrial complex of steel and concrete, with enormous cooling towers looming ahead — oh, that Oklo? It trades at $27 a share today, down 86% from an all-time high of roughly $194.

How does Oklo fall from $194 to $27, and more importantly, should you buy?

Image source: Oklo.

Oklo at $27: How we got here

Oklo, as you might know, is trying to build a small modular reactor (called Aurora) that looks like a cross between a cathedral and an eco-cabin. “Trying” doesn’t mean it lacks the technical know-how to do it. No, instead, “trying” means making it through the lengthy, expensive process of securing regulatory approval to sell electricity from certified reactors, which has been ongoing since 2016.

$25.25-$1.56 (-5.82%)

NYSE · As of 4:00 PM ET 10/30/26

It’s no surprise that Oklo has been mired in this regulatory approval for over a decade (this is nuclear energy, after all). What is surprising is the response to nuclear that made Oklo such a hot stock.

Although Oklo went public in 2024, enthusiasm really accelerated in 2025. This was a time when powerful artificial intelligence models were emerging, and people were generally won over (at least at first) by the technology’s language fluency and rational capacities.

All of a sudden, Wall Street was giddy about nuclear energy. And why not? AI needs power, preferably clean power, and nuclear is one of the best sources of clean electricity. With backing from Sam Altman, Oklo seemed like the perfect partner for data centers in an era of increasingly powerful and energy-intensive models.

Oklo still seems like a good partner for data centers. But that future seems a lot farther away than it did last year. Building nuclear power plants, even small ones, takes time and money, and investors seem reluctant to pay a premium for profits that might not materialize for years. Meanwhile, tech companies are looking for ways to secure electricity sooner, including Alphabet‘s (GOOG -1.45%) (GOOGL -1.40%) recent 20-year agreement with Constellation Energy (CEG -0.83%) to add 890 megawatts of nuclear capacity by upgrading its reactors.

Is Oklo a buy at $27?

The sobering truth: Oklo at $27 is essentially the same as Oklo at $194.

At $194, investors were betting on a company with no regulatory approval and no Aurora powerhouse in operation. At $27, Oklo is basically in the same situation.

That’s not to say it’s not a buy. Indeed, at $27 per share, investors are certainly getting a better price. Still, the company carries a roughly $5 billion market valuation, despite generating little revenue, so I wouldn’t call Oklo a “bargain.”

Given that Oklo is probably years away from generating meaningful revenue, most investors will likely want to let this story play out before jumping on board.

Once I Understood This About Investing, My Life Changed.



Read weekly Deep Dives from my research team and join the group chat on my Learn With Me Substack:

Legal Disclaimer:
Any information on this channel is provided for educational purposes only. None of the above is investment advice, a recommendation or an offer to sell, or a solicitation of an offer to buy, any securities or investment products.

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Tech Selloff Keeps Pushing Mortgage Rates Closer to the 6s


Mortgage rates are even lower today, inching their way closer and closer to a 6-handle.

And once again tech stocks are getting hammered, pushing a lot of money toward the safety of bonds.

When that happens, their corresponding yields (or interest rates) drop, and that spells relief for mortgage rates.

The bellwether 10-year bond yield was down another seven basis points (bps) after Amazon and Intel spooked the market.

It’s the one silver lining in an otherwise gloomy situation, but only if you’re actually in need of a mortgage right now.

Tech Stocks Continue to Rattle the Market, Pushing Money Into Bonds

The other day we saw Alphabet shares get rocked. Today, we saw Amazon and Intel get hit, the latter of which plummeted over 30% at last glance. Yikes!

Intel said it might not achieve positive cash flow, an issue we’ve heard a lot of recently.

It appears all that infrastructure and AI spending is catching up to these companies, even if they do eventually profit from the buildout.

That has rattled investors, who were loving the high returns from AI-related names but now might be having second thoughts.

If they all of a sudden say hey, bonds look pretty attractive here with near-5% returns, that takes pressure off mortgage rates.

And that’s basically what we’ve been seeing, despite other headwinds like inflation, high oil prices, and the ongoing Middle East conflict.

[Compare five different mortgage rates side by side with my mortgage rate calculator.]

Why Do Falling Tech Stocks = Lower Mortgage Rates?

It’s a classic flight to safety.

When investors get nervous about stocks, they tend to sell and buy bonds instead, especially U.S. Treasuries, which are guaranteed to be paid out.

More demand for bonds pushes their price up and yield down.

As we know from many years of data, 30-year fixed mortgage rates tend to follow the 10-year yield in veritable lockstep.

So if you ever want to track mortgage rates, simply look at the 10-year bond yield and you’ll have a pretty good idea as to their direction.

If the 10-year yield drops, 30-year fixed mortgage rates should be lower on the day as well.

If the yields go up, which they did for the past few months until recently, 30-year fixed mortgage rates should also rise. And boy did they ever.

For perspective, the 10-year bond yield was as high as 5.365% in early October, the highest level since 2002, and now back below 5%.

You can thank the stock market rout for that, and basically nothing else.

The fact that yields fell despite data showing the economy grew at its fastest pace in a year with inflation running hot says a lot.

In other words, even hot economic data couldn’t stop the bond rally as fears of an AI bubble take center stage.

But What Does a Tech Selloff Mean for Home Buyers?

Here’s the problem with this recent mortgage rate rally.

Lower rates driven by fear and wealth destruction aren’t the same as lower mortgage rates driven by good news, like falling inflation.

If tech stocks keep sliding, that hits 401(k)s and other retirement accounts that many buyers may have been counting on for a down payment. Or for reserves.

Or simply to feel comfortable making a 6- or 7-figure home purchase.

And that diminishing wealth effect could eventually weigh on home sales even as interest rates improve.

Of course, it’s not definitive yet. October is notoriously bad for stocks and this year hasn’t disappointed.

If tech stocks bounce back, bond yields could pop right back up too and take mortgage rates with them.

And remember, mortgage rates are slow to fall and quick to rise.

Read on: How are mortgage rates determined?

Colin Robertson
Latest posts by Colin Robertson (see all)

How Much Time Do Students Spend In School? By State


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Key Points
  • The typical U.S. public school schedules about 1,231 hours a year, spread over roughly 179 days of 6.9 hours each.
  • Kansas requires 186 school days while Colorado requires 160. Students in the five longest-schedule states get 133 more hours a year than those in the five shortest.
  • Scheduled time overstates learning time, since 22.6% of students were chronically absent in 2024-25. Four-day school weeks cut about 85 hours a year.

American students spend about 1,231 hours in school each year, but where a child lives changes that number by weeks. A new Education Week review of state requirements found that Colorado sets the lowest bar at 160 instructional days, while Kansas sets the highest at 186. A review of 74 studies found that more time in school raises test scores, so those rules carry real weight for families.

No federal law sets how long students attend school. State lawmakers and local school boards make that call, and several states are rewriting their rules. EdWeek reports that Oklahoma will raise its minimum from 166 to 173 days in 2027-28. West Virginia will replace its 180-day rule with a 900-hour minimum that same year. The changes follow other state rewrites of school rules, such as New York’s move to end the Regents exam requirement.

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Table Of Contents
  1. How Much Time Do U.S. Students Spend In School Each Year?
  2. Which States Require The Most And Least School Time?
  3. Where Do Students Actually Spend The Most Hours?
  4. How Does The U.S. Compare To Other Countries?
  1. How Much School Time Do Students Actually Miss?
  2. What School Time Means For Family Budgets
  3. What Parents Can Do Now

How Much Time Do U.S. Students Spend In School Each Year?

The typical K-12 public school student is scheduled for 1,231 hours of school a year. That figure comes from a Brown University and Stanford analysis published in Education Next, which used 2017-18 federal survey data. Schools averaged 178.6 days a year and 6.9 hours a day, with high schools running slightly longer than elementary schools.

Over 13 years from kindergarten through 12th grade, those hours add up to about 16,000. Parents weighing using a 529 plan for private elementary and high school can ask any school for its annual hours, since state minimums are only a floor.

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Scheduled School Hours Per Year: 1,231 On Average
Measure Scheduled Time
National Average 1,231 hours a year
Average School Day 6.9 hours
Average School Year 178.6 days
Texas (Highest State Median) 1,313 hours a year
Hawaii (Lowest State Median) 1,131 hours a year
Four-Day School Weeks 85 fewer hours a year
Top Five Vs. Bottom Five States 133 more hours a year, or 1.4 extra years over K-12
Source: Kraft and Novicoff, Education Next. The College Investor.

Which States Require The Most And Least School Time?

Kansas requires the most instructional days at 186, and Colorado requires the fewest at 160. EdWeek counts 32 states that require at least 180 days. That 26-day difference grows to 338 days over a K-12 career, close to two full school years. Kansas’s minimum is 16% higher than Colorado’s, which clears the 10% threshold that researchers tie to measurable gains in achievement.

Other states count hours instead of days. A Thomas B. Fordham Institute review of state minimums found that Texas required 1,260 hours a year as of 2023. Arizona high schools needed only 720. Texas sets that high bar even as its public schools lost 76,000 students in one year. South Carolina now requires 1,080 hours on top of 180 days.

Every state’s rules appear in the table below, based on the Education Commission of the States’ 50-state comparison with 2026 changes reported by EdWeek. Families weighing a move can check these minimums alongside each state’s 529 plan options.

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Minimum School Time By State: All 50 States
State Minimum Days Minimum Hours, High School
Alabama 180 1,080
Alaska 180 900
Arizona 180 720
Arkansas Set by state rules 1,068
California 180 1,080
Colorado 160 1,080
Connecticut 180 900
Delaware No state minimum 1,060
District Of Columbia 180 No state minimum
Florida 180 900
Georgia 180 No state minimum
Hawaii 180 1,080
Idaho Set locally 990
Illinois 185 No state minimum
Indiana 180 No state minimum
Iowa 180 1,080
Kansas 186 1,116
Kentucky 170 1,062
Louisiana 177 1,062
Maine 180 No state minimum
Maryland 180 1,170
Massachusetts 180 990
Michigan 180 1,098
Minnesota 165 1,020
Mississippi 180 No state minimum
Missouri No state minimum 1,044
Montana Set locally 1,080
Nebraska No state minimum 1,080
Nevada 180 No state minimum
New Hampshire 180 990
New Jersey 180 No state minimum
New Mexico No state minimum 1,080
New York 180 990
North Carolina 185 1,025
North Dakota No state minimum 1,050
Ohio Set locally 1,001
Oklahoma 166 (173 in 2027-28) 1,080
Oregon No state minimum 990
Pennsylvania 180 990
Puerto Rico No state minimum No state minimum
Rhode Island 180 1,080
South Carolina 180 1,080
South Dakota Set locally 963
Tennessee 180 No state minimum
Texas No state minimum 1,260
Utah 180 990
Vermont 175 No state minimum
Virginia 180 990
Washington 180 1,080
West Virginia 180 900 starting 2027-28
Wisconsin No state minimum 1,137
Wyoming 175 1,000
Source: Education Commission of the States, Education Week. The College Investor.

Where Do Students Actually Spend The Most Hours?

Actual schedules run above the legal minimums. Kraft and Novicoff found median scheduled hours range from 1,131 a year in Hawaii to 1,313 in Texas. Students in the top five states, Texas, Nebraska, Arkansas, Mississippi and Alabama, spend 133 more hours a year in school than students in Hawaii, Nevada, Maine, Oregon and Rhode Island. That adds up to 1.4 extra years of school by graduation, before counting any dual enrollment college classes.

How Does The U.S. Compare To Other Countries?

U.S. students get more required class time than students in most developed countries, but their math scores land right at the international average. The OECD’s Education at a Glance 2025 report puts U.S. compulsory instruction at 8,917 hours across primary and middle school, against an OECD average of 7,642. Only four of the 35 OECD countries with national data require more: Australia, Denmark, Costa Rica and Colombia. U.S. teens still scored 463 in math on the latest PISA exam, exactly the OECD average.

The U.S. gets its hours from long days, not a long year. American schools average about 179 days, while the OECD average is 186 days in primary school. A typical U.S. day runs 6.9 hours, which pushes total time above most countries. Research on how longer school days affect achievement finds the payoff shrinks once days are already long.

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More Class Time, Middle-Of-The-Pack Math: U.S. Vs. The World
Country Required Class Hours, Primary And Middle School PISA 2025 Math Score Math Rank (Of 91)
Australia 11,000 478 17
United States 8,917 463 27
Netherlands 8,640 483 13
Singapore 8,500* 563 2
United Kingdom 8,500* 488 10
Canada 8,300 485 11
France 8,210 458 33
Ireland 8,185 480 14
Spain 7,891 457 35
Switzerland 7,680 499 9
OECD Average (Midpoint) 7,642 463 –
Italy 7,557 468 24
Germany 7,333 464 25
Japan 7,260 525 5
China (Four Provinces) 6,640* 612 1
South Korea 6,453 522 6
Estonia 6,432 508 8
Finland 6,413 469 22
Poland 5,304 484 12
*Estimated. China’s figure converts class periods to hours. Singapore and the U.K. set no national hours, so their figures are estimated from annual calendar requirements.
Source: OECD Education at a Glance 2025, OECD PISA 2025, China Ministry of Education. The College Investor.

How Does U.S. School Time Compare With China, Japan And South Korea?

The top-scoring Asian systems require less classroom time than the U.S., not more. Japan requires 7,260 hours across primary and middle school, and South Korea requires 6,453. That’s about 1,700 and 2,500 fewer hours than the U.S. Japan still scored 525 in math and South Korea 522 on PISA 2025, about 60 points above American students. Both countries also beat U.S. scores in reading and science on the same global exam.

China doesn’t report instruction time to the OECD. Its national curriculum plan, as published in Guangdong’s implementation rules (PDF File), sets 9,522 class periods over nine years of compulsory school. Primary periods last 40 minutes and middle school periods last 45. That works out to about 6,640 hours of new instruction by The College Investor’s math. Students in Beijing, Shanghai, Jiangsu and Zhejiang still posted the world’s top PISA math score at 612.

Neither figure counts private tutoring or after-school academies, since both measure only required school lessons. In the U.S., families who pay for that extra help can now cover tutoring with 529 plan money. Singapore, which ranked second in math at 563, doesn’t report hours to the OECD, and its school calendar points to about 8,500.

How Does The U.S. Compare With Europe?

European results show the same split between time and scores. Estonia posted Europe’s top math score at 508 while requiring 6,432 hours, about 2,500 fewer than the U.S. Poland requires the fewest hours in the OECD at 5,304 and still outscored American students by 21 points. The United Kingdom sets no national minimum for instruction time in England, and its students scored 488.

More time doesn’t guarantee a top score in Europe either. France requires 8,210 hours and Spain requires 7,891, yet both scored below the U.S. at 458 and 457. Germany, Italy and Finland all finished within six points of the U.S. with fewer required hours. The same disconnect shows up with money at home, where New York City schools are projected to spend about $43,778 per student and still trail the nation in fourth-grade math.

How Much School Time Do Students Actually Miss?

Scheduled hours overstate time in class. An American Enterprise Institute analysis reported by Chalkbeat found 22.6% of students were chronically absent in 2024-25, down from a peak of 28.3% in 2022. A chronically absent student misses at least 10% of the year, or about 18 days of a 180-day calendar. Attendance matters for older students too, since missed classes cut into time for SAT and ACT prep now that more colleges require scores.

Four-day weeks cut time by design. More than 2,100 schools in 26 states used a four-day schedule in 2024-25, according to an Education Week report on new state limits. Kraft and Novicoff found those students get 85 fewer instructional hours a year, or about 12 school days at a 6.9-hour pace. For working parents, the fifth weekday becomes a child care bill, an expense a dependent care FSA can pay with pre-tax dollars.

What School Time Means For Family Budgets

A 180-day calendar leaves about 185 days a year, counting weekends and summer, when children are not in class. Starting in 2026, a dependent care FSA lets families set aside up to $7,500 pre-tax for care of children under 13. Summer day camp counts, while overnight camp does not. That same contribution is one of several pre-tax moves that can lower a student loan payment under RAP and IBR.

Families who buy more learning time have new tools as well. The annual 529 limit for K-12 costs doubled to $20,000 in 2026, and the 529 plan expansion now covers tutoring, books and testing fees. Starting in 2027, taxpayers can claim the $1,700 Education Freedom Tax Credit for gifts to K-12 scholarship groups in states that opt in.

What Parents Can Do Now

  1. Ask for your school’s annual hours. Compare them with the 1,231-hour national average and with the research on how school time affects scores.
  2. Track attendance by the semester. Eighteen missed days in a 180-day year makes a student chronically absent. Catching it early protects the time students need for the SAT and ACT.
  3. Budget for days without school. Enroll in a dependent care FSA during open enrollment to cover after-school care and day camp.
  4. Pay for extra learning with a 529. Tutoring and testing fees are now qualified 529 plan expenses for K-12 students.
  5. Turn high school hours into college credit. Dual enrollment lets students earn credits that cut what families pay later.

FAQs

Does More Time In School Raise Test Scores?

More time raises scores, but only in larger doses. A review of 74 studies on time in school found a 10% increase in total time is the threshold most likely to produce measurable gains. Adding a single day to the school year produced only small math effects.

Which Country Has The Longest School Day?

Among OECD countries, Costa Rica requires the longest primary school day at about 5.7 hours of instruction. The College Investor calculated that by dividing required annual hours by school days in the OECD’s 2025 instruction time data. The U.S. ranks third at about 5.4 hours, and its middle schoolers get about 5.7 hours a day. Those figures count only class time, so the full day with lunch and recess runs longer than the class time researchers tie to achievement.

What State Has The Shortest School Hours?

Hawaii has the shortest actual school schedule, with a median of 1,131 hours a year, according to the Kraft and Novicoff analysis. By law, Arizona sets the lowest high school minimum at 720 hours, and Colorado sets the fewest required days at 160 among states with a day minimum. Shorter school days can mean more paid after-school care, an expense a dependent care FSA covers with pre-tax dollars.

Editor: Colin Graves

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