Generated by GPT-5-mini| Financial economics | |
|---|---|
| Name | Financial economics |
| Discipline | Economics |
| Subdiscipline | Finance |
Financial economics Financial economics studies how markets allocate resources under uncertainty, how prices are formed for securities and claims, and how agents make intertemporal decisions about consumption, savings, and investment. It integrates models from John Maynard Keynes, Milton Friedman, Harry Markowitz, Eugene Fama, and Robert Merton with empirical methods used by institutions such as the Federal Reserve System, European Central Bank, and private firms like Goldman Sachs. The field informs regulation by bodies such as the Securities and Exchange Commission and affects policy debates in contexts like the Global Financial Crisis of 2007–2008 and debates following the Dot-com bubble.
Financial economics originated from the work of scholars including Irving Fisher, Adam Smith, David Ricardo, John von Neumann, and Oskar Morgenstern and developed through contributions by Fischer Black, Myron Scholes, Merton Miller, and James Tobin. It spans applied topics addressed in journals such as the Journal of Finance, the Review of Financial Studies, and the Journal of Financial Economics and intersects with practice at firms like J.P. Morgan Chase, BlackRock, and Vanguard. Curriculum in departments at universities such as Harvard University, University of Chicago, London School of Economics, and Massachusetts Institute of Technology blends theory, econometrics, and institutional knowledge of markets like the New York Stock Exchange and NASDAQ.
Core models derive from utility theory advanced by John von Neumann and Oskar Morgenstern and expected-utility formulations discussed by Daniel Bernoulli and Leonard Savage. Portfolio theory begins with Harry Markowitz’s diversification and the Capital Asset Pricing Model developed by William Sharpe, John Lintner, and Jan Mossin. Option pricing and continuous-time finance follow from the Black–Scholes model of Fischer Black and Myron Scholes and later formalizations by Robert Merton. Corporate finance theory invokes the Modigliani–Miller theorem of Franco Modigliani and Merton Miller and agency frameworks influenced by Michael Jensen and William Meckling. Equilibrium concepts draw on Kenneth Arrow and Gerard Debreu and the notion of complete markets explored in the work of Radner and Arrow–Debreu models.
Markets studied include equity markets such as the New York Stock Exchange and Tokyo Stock Exchange, debt markets like the Treasury bond market and municipal bond market, and derivative venues represented by the Chicago Board Options Exchange and CME Group. Instruments encompass equities (e.g., firms listed on the FTSE 100 and S&P 500), fixed income instruments including U.S. Treasury bonds and corporate bonds, and derivatives such as options, futures, swaps, and credit default swaps used in institutions like AIG and Lehman Brothers before the 2008 financial crisis. Market microstructure analysis references exchanges such as Euronext and electronic platforms pioneered by NASDAQ OMX Group.
Asset pricing frameworks include the Capital Asset Pricing Model (William Sharpe), the Arbitrage Pricing Theory proposed by Stephen Ross, and multifactor models exemplified by Eugene Fama and Kenneth French. Continuous-time pricing uses stochastic calculus developed by Kiyoshi Itô and applied in works by Paul Samuelson and Robert C. Merton. Risk measures and regulatory capital regimes are informed by concepts like Value at Risk and standards under Basel II and Basel III overseen by the Bank for International Settlements. Hedging strategies and portfolio insurance draw on methods used at firms such as Barings Bank and in responses to events like the Black Monday (1987) crash.
Investment valuation relies on discounted cash flow analysis rooted in the present-value ideas of Irving Fisher and capital budgeting rules practiced at corporations such as General Electric and ExxonMobil. Capital structure theories contrast trade-off models associated with Stewart Myers with pecking order theory discussed by Stuart Myers and Nicholas Majluf. Corporate governance debates involve institutions like the New York Stock Exchange listing standards, cases such as Enron scandal, and regulatory responses from the U.S. Congress and Securities and Exchange Commission. Mergers and acquisitions literature references landmark transactions involving AT&T and Time Warner as empirical settings for testing bidding and synergy models.
Econometric techniques in the field use time-series methods developed by Clive Granger and Robert Engle and panel methods employed in studies using data from CRSP and Compustat maintained by Wharton Research Data Services. Event-study methods trace announcements involving firms like Apple Inc., Microsoft, and Tesla, Inc. to estimate abnormal returns; machine learning applications draw on toolkits used by Google and Amazon (company) in trading and risk analytics. High-frequency data research leverages infrastructure at exchanges like the Chicago Mercantile Exchange and regulatory feeds from the Financial Industry Regulatory Authority.
Critiques arise from behavioral findings of researchers such as Daniel Kahneman and Amos Tversky challenging rational-agent assumptions, and from debates over market efficiency propagated by Eugene Fama versus anomalies highlighted by Robert Shiller. Systemic risk concerns intensified after the Global Financial Crisis of 2007–2008 and prompted reforms at bodies like the Financial Stability Board and changes to institutions including Fannie Mae and Freddie Mac. Contemporary topics include climate finance initiatives involving the United Nations Framework Convention on Climate Change processes, the rise of digital assets like Bitcoin and platforms such as Coinbase (company), and policy discussions in forums like the G20 addressing regulation of fintech firms like Stripe (company) and Revolut.