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1 week ago | 
knowledge.wharton.upenn.edu | Shankar Parameshwaran
Companies worldwide are bracing for a potential reset of the global economy and trade, says Wharton’s Senthil Veeraraghavan.
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Jan 7, 2025 | 
knowledge.wharton.upenn.edu | Shankar Parameshwaran
The coming year could see a cooling-off of the stock market from the scorching growth of the past two years, especially for tech stocks, and very modest rate cuts by the Federal Reserve, Wharton emeritus professor of finance Jeremy Siegel said in December on the Wharton Business Daily radio show on SiriusXM.
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Jan 7, 2025 | 
knowledge.wharton.upenn.edu | Shankar Parameshwaran
A year ago, Susan M. Wachter, Wharton professor of real estate and finance, had noted that while 2023 had been “extremely painful” for the real estate industry, the reigning theme for 2024 would be an easing of some of those pains but also waiting for better times. “Stay alive to ‘25,” advised Wachter, who is also co-director of the Penn Institute for Urban Research.
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Nov 18, 2024 | 
knowledge.wharton.upenn.edu | Shankar Parameshwaran
Most Americans are scared of hospital bills, even if they are insured. But few may go as far as to check who owns these facilities, or if they have a new owner. A new paper by experts at Wharton and elsewhere has found that a rapid increase in corporate ownership of hospitals in recent years has redefined their business models and how they price their services.
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Oct 29, 2024 | 
knowledge.wharton.upenn.edu | Shankar Parameshwaran
Presidential election seasons are defined by the policies that candidates pitch, but the viability of those policies is not always within the grasp of the voting public, businesses, and the rest of the economy. In a new Wharton series called “Policies That Work,” Wharton faculty experts assess the feasibility of the electoral promises made by former President Donald Trump and Vice President Kamala Harris.
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Oct 15, 2024 | 
knowledge.wharton.upenn.edu | Shankar Parameshwaran
Fortune may favor the bold, but in investing, those who gauge their risks smartly will be better off. Experts at Wharton and elsewhere have developed a novel model to identify latent (or hidden) risk factors that are common across investments in the three asset classes of stocks, bonds, and options. That is an advancement over conventional asset pricing research, much of which has focused on risk factors specific to particular asset classes.
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Oct 8, 2024 | 
knowledge.wharton.upenn.edu | Shankar Parameshwaran
Shareholder returns from divestitures by publicly held companies are lower in the short term when the buyers are PE firms, compared to those when the buyers are other companies or companies owned by PE firms, according to a paper based on a study by Wharton management professor Paul Nary, titled “Do Corporations Benefit from Divesting to Private Equity Acquirers?
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Sep 24, 2024 | 
knowledge.wharton.upenn.edu | Shankar Parameshwaran
Property insurance premiums for U.S. homeowners surged an average 33% or $500 annually from $1,902 in 2020 to 2,530 in 2023, driven largely by pass-through of higher reinsurance costs. That insight comes from a new research paper titled “Property Insurance and Disaster Risk: New Evidence from Mortgage Escrow Data” by Benjamin Keys, Wharton professor of real estate and finance, and Philip Mulder, professor of risk and insurance at the University of Wisconsin-Madison.
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Sep 10, 2024 | 
knowledge.wharton.upenn.edu | Shankar Parameshwaran
The spectacular unwinding of the Yen carry trade raises the question: How big is the carry trade? This is a difficult question to answer. Foreign-exchange traders can simultaneously buy and sell multiple currencies. Exposures in one currency can be quickly hedged or diversified by trading other currencies. In other words, just tallying who traded which currency will not reveal the true extent of carry trades. Not all sales of Japanese yen indicate positions in a carry trade, for example.
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Sep 10, 2024 | 
knowledge.wharton.upenn.edu | Shankar Parameshwaran |Tyna Eloundou
Large language models (LLMs), the AI programs that churn vast amounts of data to generate content, will have large impacts on jobs, but they will take a long time to do so. That’s the conclusion of a team of experts at Wharton and elsewhere who analyzed tasks across occupations for their exposure to LLMs and their potential to be transformed by AI.
