More from the Author

• Working Paper | 2019

  A Quantity-Driven Theory of Term Premiums and Exchange Rates

  Robin Greenwood, Samuel G. Hanson, Jeremy C. Stein and Adi Sunderam

  We develop a model in which risk-averse, specialized bond investors must be paid to absorb shocks to the supply and demand for long-term bonds in two currencies. Since long-term bonds and foreign exchange are both exposed to unexpected movements in short-term interest rates, our model naturally links the predictability of long-term bond returns to the predictability of foreign exchange returns. Specifically, a shift in the net supply of long-term bonds in one currency influences bond term premiums in both currencies as well as the foreign exchange rate between the two currencies. Our model matches several important empirical patterns, including the co-movement between exchange rates and bond term premiums as well as the finding that central banks' quantitative easing policies impact not only local-currency long-term yields, but also foreign exchange rates. We also show that this quantity-driven approach provides a unified account explaining both why foreign exchange tends to outperform when the foreign interest rates exceed domestic rates and why long-term bonds tend to outperform when the yield curve is steep.

  Keywords: term premium; exchange rate; Bonds; Currency; Theory;

  Citation:

  Greenwood, Robin, Samuel G. Hanson, Jeremy C. Stein, and Adi Sunderam. "A Quantity-Driven Theory of Term Premiums and Exchange Rates." Working Paper, November 2019.  View Details

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• Working Paper | 2019

  Using Models to Persuade

  Joshua Schwartzstein and Adi Sunderam

  We present a framework for analyzing “model persuasion,” where persuaders influence people’s beliefs by proposing models (likelihood functions) that suggest how to organize past data (e.g., on investment performance) to make predictions (e.g., about future returns). Receivers are assumed to find models more compelling when they better explain the past. A key tradeoff persuaders face is that models that better fit the data induce less movement in receivers’ beliefs. Model persuasion sometimes makes the receiver worse off than if he interprets data through the lens of a default model. The receiver is most misled by persuasion when there is a lot of publicly available data that is open to interpretation and exhibits randomness, as this gives the persuader “wiggle room” to highlight false patterns. Even when the receiver is exposed to the true model, the wrong model often wins because it better fits the past. Competition more broadly pushes persuaders towards overfitting available data and as a result tends to neutralize the data by leading receivers to view it as unsurprising. With multiple receivers, a persuader is more effective when receivers share similar priors and default interpretations. We illustrate with examples from finance, politics, and law.

  Keywords: model persuasion; Data and Data Sets; Forecasting and Prediction; Mathematical Methods; Framework;

  Citation:

  Schwartzstein, Joshua, and Adi Sunderam. "Using Models to Persuade." NBER Working Paper Series, No. 26109, July 2019.  View Details

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• Article | Review of Financial Studies | June 2019

  Social Risk, Fiscal Risk, and the Portfolio of Government Programs

  Samuel G. Hanson, David S. Scharfstein and Adi Sunderam

  We develop a model of government portfolio choice in which a benevolent government chooses the scale of risky projects in the presence of market failures and tax distortions. These two frictions generate motives to manage social risk and fiscal risk. Social risk management makes attractive programs that ameliorate market failures in bad economic times. Fiscal risk management makes unattractive programs that entail large government outlays at times when other programs in the government's portfolio also require large outlays. We characterize the determinants of social and fiscal risk and argue that these two risk management motives often conflict. Using the model, we explore how the attractiveness of different financial stability programs varies with the government's fiscal burden and with characteristics of the economy.

  Keywords: Risk Management; Government and Politics; Programs;

  Citation:

  Hanson, Samuel G., David S. Scharfstein, and Adi Sunderam. "Social Risk, Fiscal Risk, and the Portfolio of Government Programs." Review of Financial Studies 32, no. 6 (June 2019): 2341–2382. (Internet Appendix Here.)  View Details

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