As fears of an escalating and prolonged trade war intensify, investors are increasingly turning to inverse ETFs to hedge against market downturns and potentially profit from declining asset prices.

For all the great films on our watchlist, 2025 hasn’t really gotten off to the best start. Marvel is still struggling at the box office, while the most highly anticipated horror movies have left ...

If you’d bought the leading exchange-traded fund investing in long-term U.S. Treasury bonds at its peak in August 2020, you’d have lost 41.3% by now—even after reinvesting your interest ...

While the easiest way to monitor if betting against Cramer – and indeed, the easiest way to bet against him – would be via the Inverse Cramer ETF (SJIM), such an approach has been impossible for over ...

Leveraged and inverse-leveraged ETFs either create a leveraged long/short position, an inverse long/short position, or a leveraged inverse long/short position in the underlying index through the ...

Lauder's theory was that lipstick sales and the health of the economy were in inverse proportion to one another — essentially, as the economy got worse, lipstick sales got better — because ...

The world needs the Avengers now more than ever. Marvel hit an arguable peak with Avengers: Endgame, which broke box office records and thrilled fans the world over. But it also splintered the ...

In early February, as he flew in Air Force One above the body of water he’d recently renamed the Gulf of America, President Donald Trump declared that he would levy tariffs on all imported steel and ...

Perhaps the best example of Jim Cramer’s fame, infamy, and influence is the ‘inverse Cramer’ strategy. The Mad Money host has an at times preternatural ability to recommend going long or short on an ...

The Bottom Line The law of demand posits that the price of an item and the quantity demanded have an inverse relationship. Essentially, it tells us that people will buy more of something when its ...

This instruction aims to reproduce the results in the paper “Functional-Input Gaussian Processes with Applications to Inverse Scattering Problems” proposed by Sung, Wang, Cakoni, Harris, and Hung.

To be able to better understand existing pairwise text preference data, we formulate its interpretation as a compression task: the Inverse Constitutional AI problem. Read the full paper for more ...