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Author:Zhou, Hao 

Working Paper
Realized jumps on financial markets and predicting credit spreads

This paper extends the jump detection method based on bi-power variation to identify realized jumps on financial markets and to estimate parametrically the jump intensity, mean, and variance. Finite sample evidence suggests that jump parameters can be accurately estimated and that the statistical inferences can be reliable, assuming that jumps are rare and large. Applications to equity market, treasury bond, and exchange rate reveal important differences in jump frequencies and volatilities across asset classes over time. For investment grade bond spread indices, the estimated jump volatility ...
Finance and Economics Discussion Series , Paper 2006-35

Working Paper
Expected stock returns and variance risk premia

We find that the difference between implied and realized variances, or the variance risk premium, is able to explain more than fifteen percent of the ex-post time series variation in quarterly excess returns on the market portfolio over the 1990 to 2005 sample period, with high (low) premia predicting high (low) future returns. The magnitude of the return predictability of the variance risk premium easily dominates that afforded by standard predictor variables like the P/E ratio, the dividend yield, the default spread, and the consumption-wealth ratio (CAY). Moreover, combining the variance ...
Finance and Economics Discussion Series , Paper 2007-11

Working Paper
A study of the finite sample properties of EMM, GMM, QMLE, and MLE for a square-root interest rate diffusion model

This paper performs a Monte Carlo study on Efficient Method of Moments (EMM), Generalized Method of Moments (GMM), Quasi-Maximum Likelihood Estimation (QMLE), and Maximum Likelihood Estimation (MLE) for a continuous-time square-root model under two challenging scenarios--high persistence in mean and strong conditional volatility--that are commonly found in estimating the interest rate process. MLE turns out to be the most efficient of the four methods, but its finite sample inference and convergence rate suffer severely from approximating the likelihood function, especially in the scenario of ...
Finance and Economics Discussion Series , Paper 2000-45

Working Paper
Term structure of interest rates with regime shifts

We develop a term structure model where the short interest rate and the market price of risks are subject to discrete regime shifts. Empirical evidence from Efficient Method of Moments estimation provides considerable support for the regime shifts model. Standard models, which include affine specifications with up to three factors, are sharply rejected in the data. Our diagnostics show that only the regime shifts model can account for the well documented violations of the expectations hypothesis, the observed conditional volatility, and the conditional correlation across yields. We find that ...
Finance and Economics Discussion Series , Paper 2001-46

Conference Paper
Dynamic estimation of volatility risk premia and investor risk aversion from option-implied and realized volatilities

Proceedings

Working Paper
Credit default swap spreads and variance risk premia

We find that firm-level variance risk premium, estimated as the difference between option-implied and expected variances, has a prominent explanatory power for credit spreads in the presence of market- and firm-level risk control variables identified in the existing literature. Such a predictability complements that of the leading state variable--leverage ratio--and strengthens significantly with lower firm credit rating, longer credit contract maturity, and model-free implied variance. We provide further evidence that: (1) variance risk premium has a cleaner systematic component and ...
Finance and Economics Discussion Series , Paper 2011-02

Working Paper
Bond risk premia and realized jump volatility

We find that adding a measure of market jump volatility risk to a regression of excess bond returns on the term structure of forward rates nearly doubles the R square of the regression. Our market jump volatility measure is based on the realized jumps identified from high-frequency stock market returns using the bi-power variation technique. The significant enhancement of bond return predictability is robust to different forecasting horizons, to using non-overlapping returns and to the choice of different window sizes in computing the jump volatility. This market jump volatility factor also ...
Finance and Economics Discussion Series , Paper 2007-22

Working Paper
Stock return predictability and variance risk premia: statistical inference and international evidence

Recent empirical evidence suggests that the variance risk premium, or the difference between risk-neutral and statistical expectations of the future return variation, predicts aggregate stock market returns, with the predictability especially strong at the 2-4 month horizons. We provide extensive Monte Carlo simulation evidence that statistical finite sample biases in the overlapping return regressions underlying these findings can not ``explain" this apparent predictability. Further corroborating the existing empirical evidence, we show that the patterns in the predictability across ...
Finance and Economics Discussion Series , Paper 2011-52

Working Paper
Hot money and quantitative easing: the spillover effect of U.S. monetary policy on Chinese housing, equity and loan markets

We study a factor-augmented vector autoregression model to estimate the effects of changes in U.S. monetary policy, as well as changes in U.S. policy uncertainty, on the Chinese economy. We find that since the Great Recession, a decline in the U.S. policy rate would result in a significant increase in Chinese regulated interest rates, and rise in Chinese housing investment. One possible reason for this is the substantial inflow of hot money into China. Responses of Chinese variables to U.S. shocks at the zero lower bound are different from that in normal times, which suggest structural ...
Globalization Institute Working Papers , Paper 211

Working Paper
Jump-diffusion term structure and Ito conditional moment generator

This paper implements a Multivariate Weighted Nonlinear Least Square estimator for a class of jump-diffusion interest rate processes (hereafter MWNLS-JD), which also admit closed-form solutions to bond prices under a no-arbitrage argument. The instantaneous interest rate is modeled as a mixture of a square-root diffusion process and a Poisson jump process. One can derive analytically the first four conditional moments, which form the basis of the MWNLS-JD estimator. A diagnostic conditional moment test can also be constructed from the fitted moment conditions. The market prices of diffusion ...
Finance and Economics Discussion Series , Paper 2001-28

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