WSJ:
Democrats warn that tax cuts will slash state revenue and services to the bone, ... Republicans caution that higher taxes will risk an exodus by wealthy residents who create jobs.
Economic Analysis of Business Practice
Democrats warn that tax cuts will slash state revenue and services to the bone, ... Republicans caution that higher taxes will risk an exodus by wealthy residents who create jobs.
...“Warren is deliberately trying to choke off investment in the construction of new single-family rental properties. This is profoundly regressive. Why is it OK for large investors to build and rent out apartments but not single-family homes?” He adds: “Warren’s policy effectively helps rich people keep working-class renters out of their towns.” ...BOTTOM LINE: More investment increases supply which reduces price.
Ski resorts used to be weather-dependent businesses — essentially farmers who grew snow. Bad snow year, bad revenue. In 2008, Vail CEO Rob Katz asked a different question: what if we could sell skiing in advance, before anyone knew how good the conditions would be? The Epic Pass was the answer.
The business model is textbook: bundle access to dozens of resorts onto a single pass, price it attractively, sell it in the offseason, and collect nearly $1 billion in revenue before a single lift spins. Weather risk transfers from the firm to the customer. Cash flow becomes predictable. Vail can now plan capital investments, acquire more resorts, and grow — all without watching the sky.
The tradeoff is equally textbook. To make the pass look cheap, you make day tickets look expensive — some now top $300. That's not accidental; it's price discrimination by design, nudging committed skiers toward the bundle. The side effect is crowded slopes and squeezed independent resorts that can't compete with a bundle their customers already bought.
The Santa Clara County Association of Realtors surveyed contractors who estimated costs per home at $43,950 to $224,000. Its figures rely on replacing stoves and dryers as well as water heaters and furnaces.
Let’s pick a random lower figure and assume the Bay Area Air Quality Management District ban will cost each home $12,000. If 120,000 homes need a new water heater annually, the cost will be about $1.5 billion every year. That is a lot of money to “avoid an estimated 37 to 85 premature deaths,” assuming there’s a basis for that claim.
What could we do instead with that amount of money?
One answer would be to spend $1.5 billion annually to remediate homeless encampments. Encampment fires are ubiquitous in Santa Clara County. San José Spotlight reported in February that “over the past year thousands of non-structural fires have been sparked by homeless camps, causing toxic fumes and safety problems for people and property.”Stroll correctly points out that the opportunity cost of the mandates is whether there are better uses for the money.
CCMBS/Treasury spreads, in contrast, widened significantly last month
One reason CCMBS/Treasury spreads have widened since January is that implied and actual interest rate volatility [a measure of risk] has increased ... Below is a chart of the MOVE index, a measure of implied interest rate volatility from options on Treasury securities across the curve.
... Canada has long been “the socialist neighbor to the north—an overtaxed, overregulated, overcontrolled economy,” resulting in low productivity and weak growth. ... the prescription is straightforward: lower taxes, less spending, and deregulation.
Jolted by the deterioration of Europe’s relationship with America, policymakers are redoubling efforts to strengthen its technology ecosystem. At the same time, America and China have made decisions that make Europe relatively more attractive to tech workers and investors. The continent’s established tech companies, though few in number, are now nurturing a new generation of startups. ...
Europe is also getting over its reluctance to let techies make lots of money. ...Now European tech companies are giving out more options...
Mr Trump’s demand that Europe (including Ukraine) do more to defend itself is also spurring high-tech arms-making in a region that had little of it. ...
China, too, is helping inadvertently. Its model of state-directed innovation has crowded out private investment and shrunk VC spending, pushing some towards Europe.
The idea of prediction markets may have begun as a small research tool in Iowa in the 1980s with trading volumes measured in the thousands of dollars. After a few decades, monthly dollar volume for private prediction markets had reached millions of dollars. Recently, prediction markets have hit the big time. The WSJ reports that Polymarket and Kalshi now do about $3-4 billion of volume in a month. To be sure, this is still three orders of magnitude smaller than the volume of the NYSE or NASDAQ of $2-3 trillion. But this impressive growth indicates broad acceptance.
The idea is simple. If a contract will pay $1 if an event occurs and I think the event will occur with probability P, my expected value of owning the contract is $1 x P or $P. If it is currently trading for less (more) than $P, I can expect to make money buying (selling) the contract. With enough potential traders, the price being quoted is "the market's" best estimate of the probability of the event. Traders' profit motives drive the price to the "the market's" expectation.Non-traders, perhaps ignorant of how new information will affect the probability, need only look at how much the price has changed to infer what more knowledgeable individuals think of the information. Prediction markets harness "the wisdom of the crowd." The growth of these markets is an indicator of how valuable this information can be.