Trading on Long-term Information Staff working paper 2020-20 Corey Garriott, Ryan Riordan Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G14, G2, G20, L, L1 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial institutions and intermediation
The Term Structures of Loss and Gain Uncertainty Staff working paper 2020-19 Bruno Feunou, Ricardo Lopez Aliouchkin, Roméo Tedongap, Lai Xu We investigate the uncertainty around stock returns at different investment horizons. Since a return is either a loss or a gain, we categorize return uncertainty into two components—loss uncertainty and gain uncertainty. We then use these components to evaluate investment. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G12 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods
A Simple Method for Extracting the Probability of Default from American Put Option Prices Staff working paper 2020-15 Bo Young Chang, Greg Orosi A put option is a financial contract that gives the holder the right to sell an asset at a specific price by (or at) a specific date. A put option can therefore provide its holder insurance against a large drop in the stock price. This makes the prices of put options an ideal source of information for a market-based measure of the probability of a firm’s default. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G13, G3, G33 Research Theme(s): Financial markets and funds management, Market functioning, Market structure
Learning, Equilibrium Trend, Cycle, and Spread in Bond Yields Staff working paper 2020-14 Guihai Zhao This equilibrium model explains the trend in long-term yields and business-cycle movements in short-term yields and yield spreads. The less-frequent inverted yield curves (and less-frequent recessions) after the 1990s are due to recent secular stagnation and procyclical inflation expectations. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E43, G, G0, G00, G1, G12 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission
Interest Rate Uncertainty as a Policy Tool Staff working paper 2020-13 Fabio Ghironi, Galip Kemal Ozhan We study a novel policy tool—interest rate uncertainty—that can be used to discourage inefficient capital inflows and to adjust the composition of external account between shortterm securities and foreign direct investment (FDI). Content Type(s): Staff research, Staff working papers JEL Code(s): E, E3, E32, F, F2, F21, F3, F32, G, G1, G15 Research Theme(s): Models and tools, Economic models, Monetary policy, Monetary policy framework and transmission, Monetary policy tools and implementation, Structural challenges, International trade, finance and competitiveness
Optimal Taxation in Asset Markets with Adverse Selection Staff working paper 2020-11 Mohammad Davoodalhosseini What is the optimal tax schedule in over-the-counter markets, e.g., those for corporate bonds? I find that an optimal tax schedule is often non-monotonic. For example, trading of some high-price assets should be subsidized, and trading of some low-price assets should be taxed. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D82, D83, E, E2, E24, G, G1, G10, J, J3, J31, J6, J64 Research Theme(s): Financial markets and funds management, Market structure, Financial system, Financial system regulation and oversight
The Effect of Oil Price Shocks on Asset Markets: Evidence from Oil Inventory News Staff working paper 2020-8 Ron Alquist, Reinhard Ellwanger, Jianjian Jin We quantify the reaction of U.S. equity, bond futures, and exchange rate returns to oil price shocks driven by oil inventory news. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D83, E, E4, E44, G, G1, G14, G15, Q, Q4, Q41, Q43 Research Theme(s): Financial markets and funds management, International markets and currencies, Market functioning, Monetary policy, Inflation dynamics and pressures
A Portfolio-Balance Model of Inflation and Yield Curve Determination Staff working paper 2020-6 Antonio Diez de los Rios How does the supply of nominal government debt affect the macroeconomy? To answer this question, we propose a portfolio-balance model of the yield curve in which inflation is determined through an interest rate rule. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, E43, E5, E52, G, G1, G12, H, H6, H63 Research Theme(s): Models and tools, Economic models, Monetary policy, Inflation dynamics and pressures, Monetary policy framework and transmission, Monetary policy tools and implementation
CBDC and Monetary Sovereignty Staff analytical note 2020-5 Antonio Diez de los Rios, Yu Zhu In an increasingly digitalized world, issuers of private digital currency can weaken central banks’ ability to stabilize the economy. By continuing to make central bank money attractive as a payment instrument in a digital world, a central bank digital currency (CDBC) could help to maintain a country’s monetary sovereignty. Content Type(s): Staff research, Staff analytical notes JEL Code(s): E, E5, E52, E58, F, F5, F55, G, G1, G15 Research Theme(s): Financial system, Financial stability and systemic risk, Monetary policy, Monetary policy tools and implementation, Money and payments, Digital assets and fintech, Payment and financial market infrastructures
Contagion in Dealer Networks Staff working paper 2020-1 Jean-Sébastien Fontaine, Adrian Walton Dealers connect investors who want to buy or sell securities in financial markets. Over time, dealers and investors form trading networks to save time and resources. An emerging field of research investigates how networks form. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E4, G, G1, G2, G21, L, L1, L14 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Financial system, Financial institutions and intermediation, Financial stability and systemic risk