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Report
Nonlinearity and flight to safety in the risk-return trade-off for stocks and bonds
Vogt, Erik; Adrian, Tobias; Crump, Richard K. (2015-04-01)
We document a highly significant, strongly nonlinear dependence of stock and bond returns on past equity market volatility as measured by the VIX. We propose a new estimator for the shape of the nonlinear forecasting relationship that exploits additional variation in the cross section of returns. The nonlinearities are mirror images for stocks and bonds, revealing flight to safety: expected returns increase for stocks when volatility increases from moderate to high levels, while they decline for Treasury securities. These findings provide support for dynamic asset pricing theories where the ...
Staff Reports , Paper 723

Working Paper
Diamond-Dybvig and Beyond: On the Instability of Banking
Gu, Chao; Monnet, Cyril; Nosal, Ed; Wright, Randall (2023-02-13)
Are financial intermediaries—in particular, banks—inherently unstable or fragile, and if so, why? We address this question theoretically by analyzing whether model economies with financial intermediation are more prone than those without it to multiple, cyclic, or stochastic equilibria. We consider several formalizations: insurance-based banking, models with reputational considerations, those with fixed costs and delegated investment, and those where bank liabilities serve as payment instruments. Importantly for the issue at hand, in each case banking arrangements arise endogenously. ...
FRB Atlanta Working Paper , Paper 2023-02

Speech
LIBOR: The Clock Is Ticking
Williams, John C. (2019-09-23)
Remarks at the 2019 U.S. Treasury Market Conference, Federal Reserve Bank of New York, New York City.
Speech

Working Paper
The role of jumps in volatility spillovers in foreign exchange markets: meteor shower and heat waves revisited
Lahaye, Jerome; Neely, Christopher J. (2014-10-01)
This paper extends the previous literature on geographic (heat waves) and intertemporal (meteor showers) foreign exchange volatility transmission to characterize the role of jumps and cross-rate propagation. We employ heterogeneous autoregressive (HAR) models to capture the quasi-long-memory properties of volatility and the Shapley-Owen R2 measure to quantify the contributions of components. We conclude that meteor showers are more influential than heat waves, that jumps play a modest but significant role in volatility transmission and that significant, bidirectional cross-rate volatility ...
Working Papers , Paper 2014-034

Discussion Paper
Has Liquidity Risk in the Corporate Bond Market Increased?
Vogt, Erik; Fleming, Michael J.; Adrian, Tobias; Shachar, Or; Stackman, Daniel (2015-10-06)
Recent commentary suggests concern among market participants about corporate bond market liquidity. However, we showed in our previous post that liquidity in the corporate bond market remains ample. One interpretation is that liquidity risk might have increased, even as the average level of liquidity remains sanguine. In this post, we propose a measure of liquidity risk in the corporate bond market and analyze its evolution over time.
Liberty Street Economics , Paper 20151006b

Working Paper
Globalization and Heterogeneity: Evidence from Hollywood
Adler, Konrad; Fuchs, Simon (2022-10-06)
Linder (1961) conjectured that taste differences could impede trade flows. We extend Krugman (1980) to allow for producers that face taste heterogeneity with volatile demand. Consumers are characterized by different taste over product attributes and idiosyncratic risk. Firms face a portfolio type of problem where they trade off supplying the largest consumer groups against higher exposure to group-specific risk. We develop an empirical strategy to estimate consumer taste from observed market shares across multiple distinct markets of the same product, as well as the key parameters that pin ...
FRB Atlanta Working Paper , Paper 2022-14

Discussion Paper
What Can We Learn from Prior Periods of Low Volatility?
Navarro-Staicos, Juan; Rosa, Carlo; Duarte, Fernando M. (2014-10-06)
Volatility, a measure of how much financial markets are fluctuating, has been near its record low in many asset classes. Over the last few decades, there have been only two other periods of similarly low volatility: in May 2013, and prior to the financial crisis in 2007. Is there anything we can learn from the recent period of low volatility versus what occurred slightly more than one year ago and seven years ago? Probably; the current volatility environment appears quite similar to the one in May 2013, but it?s substantially different from what happened prior to the financial crisis.
Liberty Street Economics , Paper 20141006

Working Paper
Incorporating Diagnostic Expectations into the New Keynesian Framework
L’Huillier, Jean-Paul; Singh, Sanjay R.; Yoo, Donghoon (2023-03-01)
Diagnostic expectations constitute a realistic behavioral model of inference. This paper shows that this approach to expectation formation can be productively integrated into the New Keynesian framework. Diagnostic expectations generate endogenous extrapolation in general equilibrium. We show that diagnostic expectations generate extra amplification in the presence of nominal frictions; a fall in aggregate supply generates a Keynesian recession; fiscal policy is more effective at stimulating the economy. We perform Bayesian estimation of a rich medium-scale model that incorporates consensus ...
Working Paper Series , Paper 2023-19

Speech
Transcript of the Cornell College of Business Annual New York City Predictions Event: February 15, 2017
Dudley, William (2017-02-15)
Transcript of the Cornell College of Business Annual New York City Predictions Event: February 15, 2017.
Speech , Paper 233

Working Paper
No-Arbitrage Priors, Drifting Volatilities, and the Term Structure of Interest Rates
Clark, Todd E.; Carriero, Andrea; Marcellino, Massimiliano (2020-09-22)
We derive a Bayesian prior from a no-arbitrage affine term structure model and use it to estimate the coefficients of a vector autoregression of a panel of government bond yields, specifying a common time-varying volatility for the disturbances. Results based on US data show that this method improves the precision of both point and density forecasts of the term structure of government bond yields, compared to a fully fledged term structure model with time-varying volatility and to a no-change random walk forecast. Further analysis reveals that the approach might work better than an exact term ...
Working Papers , Paper 20-27

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