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Asset Pricing
Winner of the prestigious Paul A. Samuelson Award for scholarly writing on lifelong financial security, John Cochrane's Asset Pricing now appears in a revised edition that unifies and brings the science of asset pricing up to date for advanced students and professionals. Cochrane traces the pricing of all assets back to a single idea—price equals expected discounted payoff—that captures the macro-economic risks underlying each security's value. By using a single, stochastic discount factor rather than a separate set of tricks for each asset class, Cochrane builds a unified account of modern asset pricing. He presents applications to stocks, bonds, and options. Each model—consumption ba...
Financial Markets and the Real Economy
Financial Markets and the Real Economy reviews the current academic literature on the macroeconomics of finance.
The Fama Portfolio
Few scholars have been as influential in finance, both as an academic field and an industry, as Eugene Fama. Since writing his groundbreaking 1970 essay on efficient capital markets, Fama has written over 100 papers and books that have been cited hundreds of thousands of times. Yet there is no one collection where one can easily find his best work in all fields. "The Fama Portfolio" will be an outstanding and unprecedented resource in a field that still concentrates mainly on questions stemming from Fama s work: Is the finance industry too large or too small? Why do people continue to pay active managers so much? What accounts for the monstrous amount of trading? Do high-speed traders help or hurt? The ideas, facts, and empirical methods in Fama s work continue to guide these investigations. "The Fama Portfolio" will be a historic and long-lasting collection of some of the finest work ever produced in finance."
The Fiscal Theory of the Price Level
"Inflation, in which all prices and wages in an economy rise, is mysterious. If a war breaks out in the Middle East, and the price of oil goes up, the mechanism is no great mystery-supply and demand often work pretty visibly. But if you ask the grocer why the price of bread is higher, he or she will blame the wholesaler, who will blame the baker, who will blame the wheat supplier, and so on. Perhaps the ultimate cause is a government printing more money, but there is really no way to know this for certain but to sit down in an office with statistics, armed with some decent economic theory. But current economic theory doesn't really explain why we haven't seen inflation for so long, and more ...
How Monetary Policy Got Behind the Curve—and How to Get Back
With the inflation rate in the United States and many other countries on the rise for over a year and nearing double digits, the Hoover Institution hosted its 2022 conference on monetary policy. Policy makers, market participants, and academic researchers gathered to discuss the situation. Many agreed that low interest rates and high money growth were inappropriate given the high inflation rate and evidence that the United States has recovered from the deep recession induced by the pandemic and its policy response in 2020. The thoughtful papers and the thorough discussions in this volume of conference proceedings illustrate the debate about the reasons for this mismatch, as well as how to ge...
Strategies for Monetary Policy
As the Federal Reserve System conducts its latest review of the strategies, tools, and communication practices it deploys to pursue its dual-mandate goals of maximum employment and price stability, Strategies for Monetary Policy—drawn from the 2019 Monetary Policy Conference at the Hoover Institution—emerges as an especially timely volume. The book's expert contributors examine key policy issues, offering their perspectives on US monetary policy tools and instruments and the interaction between Fed policies and financial markets. The contributors review central bank inflation-targeting policies, how various monetary strategies actually work in practice, and the use of nominal GDP targeti...
Machine Learning and Data Sciences for Financial Markets
Leveraging the research efforts of more than sixty experts in the area, this book reviews cutting-edge practices in machine learning for financial markets. Instead of seeing machine learning as a new field, the authors explore the connection between knowledge developed by quantitative finance over the past forty years and techniques generated by the current revolution driven by data sciences and artificial intelligence. The text is structured around three main areas: 'Interactions with investors and asset owners,' which covers robo-advisors and price formation; 'Risk intermediation,' which discusses derivative hedging, portfolio construction, and machine learning for dynamic optimization; and 'Connections with the real economy,' which explores nowcasting, alternative data, and ethics of algorithms. Accessible to a wide audience, this invaluable resource will allow practitioners to include machine learning driven techniques in their day-to-day quantitative practices, while students will build intuition and come to appreciate the technical tools and motivation for the theory.
