Showing 1 - 10 of 23,727
Superior to the variance, "swap variance (SwV)" summarizes the entire probability distribution of returns and is … unbiased to distributional asymmetry. Retaining the same simplicity as mean-variance (MV) model, the efficiency of mean-swap … volatility and a proxy of asymmetric variation (A). The mean-variance-asymmetry (MVA) analysis, a three-dimensional extension of …
Persistent link: https://www.econbiz.de/10012934044
theory assumes that return shocks can be caused by changes in conditional volatility through a time-varying risk premium. On … leverage effect and the volatility feedback effect. We stress the importance of distinguishing between realized volatility and … implied volatility, and find that implied volatilities are essential for assessing the volatility feedback effect. The …
Persistent link: https://www.econbiz.de/10013128856
This paper decomposes the risk premia of individual stocks into contributions from systematic and idiosyncratic risks. I introduce an affine jump-diffusion model, which accounts for both the factor structure of asset returns and that of the variance of idiosyncratic returns. The estimation is...
Persistent link: https://www.econbiz.de/10011410917
In a tractable stochastic volatility model, we identify the price of the smile as the price of the unspanned risks … traded in SPX option markets. The price of the smile reflects two persistent volatility and skewness risks, which imply a …-form and structural models of stochastic volatility …
Persistent link: https://www.econbiz.de/10011412294
This paper provides empirical evidence that volatility markets are integrated through the time-varying term structure … of variance risk premia. These risk premia predict the returns from selling volatility for different horizons, maturities … significance from the no-arbitrage prices and bounds implied by the variance swap market. The paper examines these pricing errors …
Persistent link: https://www.econbiz.de/10011904683
In assessing drivers of commodity prices and volatility at this stage of the current super-cycle in commodities (year …
Persistent link: https://www.econbiz.de/10013120803
Volatility forecasts play a central role among equity risk measures. Besides traditional statistical models, modern … forecasting techniques, based on machine learning, can readily be employed when treating volatility as a univariate, daily time …-ahead volatility by using high-frequency data. We show that the dilated convolutional filters are ideally suited to extract relevant …
Persistent link: https://www.econbiz.de/10014236547
implications from a long-run risk model incorporating both time varying volatility and volatility uncertainty. We provide new … direct estimation of the underlying “structural” shocks and economic transmission mechanisms, including a new volatility …
Persistent link: https://www.econbiz.de/10013097882
It is well known that intraday volatilities and trading volumes exhibit strong seasonal features. These seasonalities are usually modeled using dummy variables or deterministic functions. Here, we propose a test for seasonal long memory with a known frequency. Using this test, we show that...
Persistent link: https://www.econbiz.de/10011673153
It is generally believed that excessive stock market volatility reflects non-mathematical market expectations that are …
Persistent link: https://www.econbiz.de/10012862894