Aytek Malkhozov
Curriculum Vitae


Asset Prices in Affine Real Business Cycle Models
Journal of Economic Dynamics and Control, 2014, 45, 180-193

I describe a tractable way to study macroeconomic quantities and asset prices in a large class of dynamic stochastic general equilibrium models. The proposed approximate solution is analytical, log-linear, and adjusted for risk. Therefore, it is well suited to investigate economic mechanisms, describe the time series properties or estimate the model, and deal with stochastic volatility. I explain the pitfalls encountered by previous attempts to use simple approximation techniques, in particular with models featuring recursive preferences. Finally, I show the theoretical relationship between my solution and higher-order perturbation methods.

Mortgage Risk and the Yield Curve with P. Mueller, A. Vedolin, and G. Venter
Review of Financial Studies, 2016, 29(5), 1220-1253

We study feedback from the risk of outstanding mortgage-backed securities (MBS) on the level and volatility of interest rates. We incorporate supply shocks resulting from changes in MBS duration into a parsimonious equilibrium dynamic term structure model and derive three predictions that are strongly supported in the data: (1) MBS duration positively predicts nominal and real excess bond returns, especially for longer maturities; (2) the predictive power of MBS duration is transitory in nature; and (3) MBS convexity increases interest rate volatility, and this effect has a hump-shaped term structure.

Does Variance Risk Have Two Prices? with L. Barras
Journal of Financial Economics, 2016, 212(1), 79-92
online appendix

We formally compare two versions of the market variance risk premium (VRP) measured in the equity and option markets. Both VRPs follow common patterns and respond similarly to changes in volatility and economic conditions. However, we reject the null hypothesis that they are identical and find that their difference is strongly related to measures of the financial standing of intermediaries. These results shed new light on the information content of the VRP, suggest the presence of market frictions between the two markets, and are consistent with the key role played by intermediaries in setting option prices.

How Have Central Banks Implemented Negative Policy Rates?
with M. Bech
BIS Quarterly Review, March 2016, 31-44
Press coverage: FT, FT, WSJ, WSJ, Bloomberg, CNNMoney

Since mid-2014, four central banks in Europe have moved their policy rates into negative territory. These unconventional moves were by and large implemented within existing operational frameworks. Yet the modalities of implementation have important implications for the costs of holding central bank reserves. The experience so far suggests that modestly negative policy rates transmit through to money markets and other interest rates for the most part in the same way that positive rates do. A key exception is retail deposit rates, which have remained insulated so far, and some mortgage rates, which have perversely increased. Looking ahead, there is great uncertainty about the behaviour of individuals and institutions if rates were to decline further into negative territory or remain negative for a prolonged period.

Working Papers

International Illiquidity with P. Mueller, A. Vedolin, and G. Venter
online appendix

We build a parsimonious international asset pricing model in which deviations of government bond yields from a fitted yield curve of a country measure the tightness of investors' capital constraints. We compute these measures at daily frequency for six major markets and use them to test the model-predicted effect of funding conditions on asset prices internationally. Global illiquidity lowers the slope and increases the intercept of the international security market line. Local illiquidity helps explain the variation in alphas, Sharpe ratios, and the performance of betting-against-beta (BAB) strategies across countries.

News Shocks and Asset Prices with A. Tamoni

We study the importance of anticipated shocks (news) for understanding the comovement between macroeconomic quantities and asset prices. We nd that four-quarter anticipated investment shocks are an important source of fluctuations for macroeconomic variables: they account for about half of the variance in hours and investment. However, it is the four-quarter anticipated productivity shock that is driving a large fraction of consumption and most of the price-dividend ratio fluctuations. These productivity news are key for the model to reproduce the empirical tendency for stock-market valuations and excess returns to lead the business cycle. Importantly, a model that does not use asset price information in the estimation would downplay the role of productivity news; in this case, the model implies that return moves (almost) completely contemporaneously with the economic activity, counterfactually with the data.