scholarly journals The Term Structure of Currency Carry Trade Risk Premia

2019 ◽  
Vol 109 (12) ◽  
pp. 4142-4177 ◽  
Author(s):  
Hanno Lustig ◽  
Andreas Stathopoulos ◽  
Adrien Verdelhan

Fixing the investment horizon, the returns to currency carry trades decrease as the maturity of the foreign bonds increases. Across developed countries, the local currency term premia, which increase with the maturity of the bonds, offset the currency risk premia. Similarly, in the time-series, the predictability of foreign bond returns in dollars declines with the bonds’ maturities. Leading no-arbitrage models in international finance do not match the downward term structure of currency carry trade risk premia. We derive a simple preference-free condition that no-arbitrage models need to reproduce in the absence of carry trade risk premia on long-term bonds. (JEL E43, G12, G15)

Author(s):  
Feng Zhao ◽  
Guofu Zhou ◽  
Xiaoneng Zhu

We examine the macro-spanning hypothesis for bond returns in international markets. Based on a large panel of real-time macroeconomic variables that are not subject to revisions, we find that global macro factors have predictive power for bond returns unspanned by yield factors. Furthermore, we estimate macro-finance term structure models with the unspanned global macro factors and find that the global macro factors influence the market prices of level and slope risks and induce comovements in forward term premia in global bond markets. This paper was accepted by David Simchi-Levi, finance.


2020 ◽  
Vol 23 (01) ◽  
pp. 2050002
Author(s):  
FRANCESCA BIAGINI ◽  
ALESSANDRO GNOATTO ◽  
MAXIMILIAN HÄRTEL

We introduce here the idea of a long-term swap rate, characterized as the fair rate of an overnight indexed swap (OIS) with infinitely many exchanges. Furthermore, we analyze the relationship between the long-term swap rate, the long-term yield, (F. Biagini, A. Gnoatto & M. Härtel (2018) Affine HJM Framework on [Formula: see text] and long-term yield, Applied Mathematics and Optimization 77 (3), 405–441, F. Biagini & M. Härtel (2014) Behavior of long-term yields in a lévy term structure, International Journal of Theoretical and Applied Finance 17 (3), 1–24, N. El Karoui, A. Frachot & H. Geman (1997) A note on the behavior of long zero coupon rates in a no arbitrage framework. Working Paper. Available at Researchgate: https://www.researchgate.net/publication/5066730) , and the long-term simple rate (D. C. Brody & L. P. Hughston (2016) Social discounting and the long rate of interest, Mathematical Finance 28 (1), 306–334) as long-term discounting rate. Finally, we investigate the existence of these long-term rates in two-term structure methodologies, the Flesaker–Hughston model and the linear-rational model. A numerical example illustrates how our results can be used to estimate the nonoptional component of a CoCo bond.


10.3982/qe887 ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 1461-1484 ◽  
Author(s):  
Drew D. Creal ◽  
Jing Cynthia Wu

Gaussian affine term structure models attribute time‐varying bond risk premia to changing risk prices driven by the conditional means of the risk factors, while structural models with recursive preferences credit it to stochastic volatility. We reconcile these competing channels by introducing a novel form of stochastic rate of time preference into an otherwise standard model with recursive preferences. Our model is affine and has analytical bond prices making it empirically tractable. We use particle Markov chain Monte Carlo to estimate the model, and find that time variation in bond term premia is predominantly driven by the risk price channel.


2004 ◽  
Vol 39 (1) ◽  
pp. 69-102 ◽  
Author(s):  
Dong-Hyun Ahn

AbstractThis paper studies a multi-factor, two-country term structure and exchange rate model when a diversification effect for an international bond portfolio is expected. It shows that the diversification gain calls upon certain restrictions on the process of the stochastic discount factor in a factor-structured economy. Existence of local factors is shown to be a necessary condition for the gains from investing in foreign bonds. Further, the exchange rate risk premia are shown to be a function of the differentials of the risk premia of the factors in bond returns. Empirical results reveal the tendency for investors to respond sensitively to rare shocks, which is shown to be a potential solution to the forward premium puzzle.


2013 ◽  
Author(s):  
Hanno Lustig ◽  
Andreas Stathopoulos ◽  
Adrien Verdelhan

2019 ◽  
Vol 24 (1) ◽  
Author(s):  
Agustin Gutierrez ◽  
Constantino Hevia ◽  
Martin Sola

Abstract The return forecasting factor is a linear combination of forward rates that seems to predict 1-year excess bond returns of bond of all maturities better than traditional measures obtained from the yield curve. If this single factor actually captures all the relevant fluctuations in bond risk premia, then it should also summarize all the economically relevant variations in excess returns considering different holding periods. We find that it does not. We conclude that including the return forecasting factor as the main driver of risk premia in a term structure model, as has been suggested, is not supported by the data.


2020 ◽  
Author(s):  
Hitesh Doshi ◽  
Kris Jacobs ◽  
Rui Liu

The existing literature finds that information not captured by traditional term structure factors helps predict excess bond returns. When estimating no-arbitrage affine term structure models, aligning in-sample and out-of-sample objective functions results in term structure factors that capture information that remains hidden from existing approaches. Specifically, the estimates of the third term structure factor radically differ and are related to the fourth principal component, which helps forecast bond returns. The new objective function leads to substantial improvements in forecasting performance. It also results in higher model term premiums and lower expected future short rates. This paper was accepted by David Simchi-Levi, finance.


Author(s):  
Hanno N. Lustig ◽  
Andreas Stathopoulos ◽  
Adrien Verdelhan

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