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Wednesday, November 4, 2026

Economic Gridlock?

Results are coming in, but the Democrats clearly won a wave election. My instinct is that this will matter for American domestic political goings on, but on the economic policy front, we will see gridlock. This is arguably positive — by preventing the White House from doing incredibly stupid things, some risk scenarios are avoided. As a result, it may be safe to project current trajectories to go forward.

  • Canadian Tariffs. Before the election, there was talk of movement on the Canadian trade front. I did not take this seriously, as it appeared that the White House figured out that the trade disputes were hitting battleground northern border states. I can see a deal to eliminate the worst tariffs happening, but so long as Trump is in the White House, there is no point in going beyond that. A real trade renegotiation will require a counter-party that is seen as reliable. The provincial boycotts of American liquor may be hard to unwind, as there are domestic constituencies that benefit from them, and there is more goodwill towards Europe and Southern hemisphere countries that replaced American booze on limited provincial liquor commission shelf inches.

  • Iran War. The President appears to be in a low energy state dealing with the drubbing. The possibility remains that he could lash out in the lame duck session of Congress. However, my bias is to expect the conflict to freeze, and the status quo will remain. It appears to be an exaggeration to say that the Persian Gulf has become a Persian Lake, but “freedom of navigation” through the Strait of Hormuz is likely to have caveats that benefit Iran. This would allow energy flows to resume, but until there is some sign that the Americans and Israelis accept the situation, taking the passage will likely be viewed as risky (and thus expensive).

  • Data Centres. Data centres are less popular than the President, and Republicans have discovered that they do not have the margin for error to allow for angering their rural base. I think the arguments over data centres will mainly occur at the sub-national level, but the Republicans got a kicking at the state level as well. Data centres are a major driver of fixed capital expenditure currently, so if animal spirits cool there, the growth drivers for the economy get even slimmer.

  • U.S. Fiscal Policy. Although the composition might change somewhat, whatever budget trajectory was baked in is likely to remain due to the threat of Presidential vetoes.

  • Ukraine/Russia. It is likely that the White House will be forced to be less explicitly pro-Kremlin, but whether that translates to American military aid resuming remains to be seen.

  • NATO Military Procurement. Although there is a strand of thinking that NATO allies should come running back to the American’s side after the election, it is unlikely that the moves for the other ally members to have closer procurement ties would stop completely. In any event, the moves are happening at a glacial pace.


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(c) Brian Romanchuk 2026

Friday, October 30, 2026

Cutting Live Meetings Is Silly

Fed Chair Kevin Warsh made an unusual announcement this week — one Fed Open Market Committee (FOMC) meeting in 2027, and two meetings in 2026 will not be “live”: they will sit around and yack, but will not change rates. And as a reminder to those who are unfamiliar with the FOMC, they have 8 scheduled meetings per year (roughly every six weeks), although they can make emergency rate moves in between scheduled meetings (usually panicked cuts).

Monday, October 26, 2026

Primer: Dynamic Option Hedging

This article attempts to provide a non-mathematical explanation of dynamic option hedging. Although the original reasoning to dive into this topic was the hedging of options on interest rate products, for simplicity, it will discuss an equity option on the basis that more people are somewhat familiar with stocks and stock options. It may even be of use to readers who are in similar position the author was in when he entered into finance: mathematical background, but little knowledge of finance. It is possible to plunge into the mathematics of financial derivatives1 without having an intuition for why they behave the way that they do, but that intuition is needed to grasp how they fit into the financial system.

Friday, October 9, 2026

Comments On U.S. Mortgage Hedging

I ran into some discussions about “doom loops” involving mortgage hedging in the USD rates market. I am quite distant from current market conditions, so I cannot give market advice, nor am I completely on top of the current dynamics. Instead, this article gives a background explanation why mortgage hedging causes difficulties in USD rates markets.

One point to note that this is largely a phenomenon in the U.S. rates markets, the other major developed markets do not have as consumer-friendly mortgages as U.S. conventional 30-year mortgages. The U.S. conventional mortgage market was developed with the help of the government-sponsored enterprises (GSEs), that bought standardised mortgages. As will be discussed in this article, hedging the risk of the prepayment option in conventional mortgages is difficult, and securitisation (placing the mortgages in mortgage-backed securities — MBS) was the way to offload the risk of mortgage hedging for banks.

Wednesday, September 30, 2026

Mortgage Rate Pain


President Trump’s relentless warfighting against price stability has finally paid dividends: conventional 30-year mortgage rates have breached 7% (figure above). We have been at similar levels in the aftermath of the 2020’s Bond Catastrophe, but the chart looks ugly and there is no sign of an end to policies that are designed to raise prices.

There is a fair amount of online controversy regarding the effect of interest rates on the economy, mainly due to the rise of Modern Monetary Theory (although there is also the fringe “Neo-Ricardian Heresy” within orthodox economics). However, the mechanism posited within MMT for the stimulative effects of higher interest rates is that they imply a greater fiscal deficit courtesy of interest spending. (Although neoclassical and conventional economists have kittens/ridicule the MMT position, this mechanism shows up in the orthodox “Fiscal Dominance” “theory,” which is also treated as being a Very Serious Position. Consistency is the hobgoblin of small minds, etc.)

Although I accept the greater interest spending angle, the housing market is the 200 kilogram (31 stone) gorilla in the room.


The above figure shows the 3-month moving average of private housing starts in the United States. If we look at the trend in housing starts when compared to recessions (coloured bars) we see that there is a tight link. Before the 1990s, policymakers followed fairly aggressive “stop-go” cyclical policies, and so housing markets getting whacked was fairly explicitly part of inflation control. The modern era features fairly gradual monetary tightening policies, but the early 1990s and mid-2000s recessions featured housing busts (and COVID saw a whipsaw due to private sector panic/official restrictions on activity). If we look at the mid-2000s, housing starts rolled over well ahead of the recession. (Meanwhile Wall Street economists and the equity market was unconvinced that there would be anything other than a “technical recession” in mid-2008, while the start of the recession was backdated to December 2007.)

A key exception was the recession in 2001. That was a “sectoral recession” — the tech sector blew itself up by making massive fixed investments in telecoms that outstripped the potential cash flows on the assets for some time. (The “dot-com” stocks fascinated the financial press, but they were largely a zero-sum financial trading bonanza. The capital investments in telecoms was what drove the real economy.) If you were in the tech sector, the early 2000s was a terrible time (as an ex-electrical engineer in Canada, I knew a fair amount of ex-Nortel employees). However, the effect on the broad economy was somewhat muted because the aggregate housing market continued its bull market through the tech bust.

Some commentators after the 2008 Financial Crisis tended to expect a repeat of that episode, and any signs of financial stress were taken as to be an indication of a repeat. To a limited extent, financial stress is associated with recessions — we rarely see a contraction in activity without some sector of the economy blowing up. However, it is entirely possible that the stress will be contained to a few sectors, without the solvency of the banking system being called into question. This follows from the arguments of Hyman Minsky — risk-taking within the financial sector follows patterns. The usual pattern is that risk-seeking is rewarded and thus builds up in the system as cycles pass. However, if there is a generational washout of risk-takers, risk-seeking is recalibrated to lower levels. The Great Depression was the most important example of such a recalibration (risk taking culture did not recover until the 1960s), but some lessons were learned after 2008.

Nevertheless, the housing market relies on households being willing to purchase expensive assets with relatively large amounts of leverage. Not every home purchase is highly leveraged — households who already own a home only need to finance the difference in prices between the house they buy and the house they sell. However, in the absence of circular patterns of home sales (people upgrading match people downgrading), new home buyers have to enter the chain of buyers. These new home buyers are critical to allowing chains of transactions to occur in practice — and such buyers need to finance almost the entire home purchase (since not many first-time home buyers have 100% down payments sitting in their bank accounts).

At the same time, new home building is a capital and labour-intensive activity. Which means that this activity is dependent upon the “animal spirits” of home buyers to finance the construction. Which creates a direct mechanical link between recessions and housing contractions: if people are losing their jobs, they are not in a mood to make large leveraged purchases. At the same time, if they stop making those purchases, people in construction lose jobs — ratifying fears about a weaker job market.

This also has a direct effect on profitability in the corporate sector. The Kalecki Profit Equation is an accounting identity that relates aggregate corporate profits to other macro variables (with simplifications made):

(Business Sector Profits) = (Net Investment) - (Household savings) + (Dividend payments) + (Government Fiscal Deficit) - (Net Imports).

Note that household savings subtracts from profits (and net investment adds). The usual propaganda from the financial sector is that household savings are an unalloyed good, but in the real world, they represent a drain on corporate cash flow. (Wages flow out of the corporate sector as an expense, and if they are not returned as current spending, this represents a loss.) Borrowing to buy a house is a form of negative savings, which thus adds to corporate profits in aggregate. Throttling back on housing hits business profits, which then typically causes firms to retrench (which throttles growth). A certain amount of conventional discussion of this topic refers to households “raising precautionary savings,” which is an extremely poor description of this effect. The “steady state” condition of most households is that they have extremely low current savings rates, and the changes from year-to-year are small. However, house (and car) purchases are chunky transactions that dwarf others — delaying those transactions is what matters for the national accounts.

(As an aside, when I first published my pieces on this topic, I discovered that some internet commentators view the Kalecki Profit Equation as The Kalecki Profit Opinion, and then chimed in with their own opinions on how national accounts and profits work. To repeat, the equation is an accounting identity — it is true by definition. The equation I gave is simplified and missing some smaller terms from the national accounts that would work their way into the identity. The Kalecki Profit Equation is also associated with Jerome Levy, who looked at the detailed national accounts to generate the identity. The Levy Institute has a working paper on this topic.)

Returning from theory to the current situation, I do not see the current rise in mortgage rates as being enough to cause a recession by itself. Right now, the housing market is too slow moving when compared to the ability of the White House to enact stupid policies. The obvious risk is the derailment of supply chains courtesy of global energy markets being blindsided by You Know Who. Mortgage rates rising going into a negative economic shock is just the cherry on top of the sundae.

On a final note, I historically downplayed ignored “AI” since (a) the people who care about AI tend to be loons and (b) the fixed investment was not that large in a global context. However, the second point has not been true for awhile (which I have noted) — the fixed investment is getting to be chunky numbers. That said, I am not panicking about an AI bust, as this is still largely an American phenomenon, and some of the firms involved had piles of cash that were sitting uselessly on their balance sheets anyway. 


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(c) Brian Romanchuk 2026

Wednesday, September 23, 2026

Back On Forward Guidance

I ran into a couple of interesting articles, and wanted to comment on them. The first is about forward guidance, the second is about a potential American diesel export ban.

The first article is “When central banks say nothing at all” by Stefan Gerlach. I will discuss the article after I do a review on forward guidance. I have written multiple times about this topic, but I was trying to be brief and skipped over the background.

Thursday, September 3, 2026

Who's The Spread Product Now?


One of the points that is coming up in my news flow is the simultaneous rise in bond yields. This was of particular interest for the United Kingdom, where the chattering classes get deeply excited by rising gilt yields. I looked around at my data sources, and the above chart was somewhat interesting.