Forecasting Beta Using Conditional Heteroskedastic Models
By Andrew Bentley Conventional measurements of equity return volatility rely on the asset’s previous day closing price to infer the current level of volatility and fail to incorporate information concerning intraday influntuctuations. Realized measures of volatility, such as the realized variance, are able to integrate intraday information by utilizing high-frequency data to form a very […]
Variance Risk Premium Dynamics: The Impact of Asset Price Jumps on Variance Risk Premia
By Jackson Pfeiffer This paper utilizes the high-frequency stock price data and the corresponding daily option price data of several highly capitalized corporations in order to investigate the impact that asset price jumps of individual equities have on the equities’ respective variance risk premia. The findings of this paper describe many characteristics of the variance […]
Cross-Stock Comparisons of the Relative Contribution of Jumps to Total Price Variance
By Vivek Bhattacharya This paper uses high-frequency price data to study the relative contribution of jumps to the total volatility of an equity. In particular, it systematically compares the relative contribution of jumps across a panel of stocks from three different industries by computing the cross-correlation of this statistic for pairs of stocks. We identify […]
Empirical Analysis on the Effects of Jumps on Realized Beta and the Disentanglement of Jump Beta1
By Hao Sun This paper constructs jump-robust estimators for the beta in Capital Asset Pricing Model (CAPM) in order to test the robustness of the recently developed Realized Beta in the presence of large discontinuous movements, or jumps, in stock prices. To complete the analysis on effect of jump on Realized Beta, this paper also […]
Simultaneous Occurrence of Price Jumps and Changes in Diffusive Price Volatility
By Shunting Wei This paper uses high frequency financial data to study the changes in diffusive stock price volatility when price jumps are likely to have occurred. In particular, we study this effect on two levels. Firstly, we compare diffusive volatility on jump and non-jump days. Secondly, we study the change in diffusive volatility in […]
Examination of Time-Variant Asset Correlations Using High-Frequency Data
By Mingwei Lei Drawing motivation from the 2007-2009 global financial crises, this paper looks to further examine the potential time-variant nature of asset correlations. Specifically, high frequency price data and its accompanying tools are utilized to examine the relationship between asset correlations and market volatility. Through further analyses of this relationship using linear regressions, this […]
Relative Contribution of Common Jumps in Realized Correlation
By Kyu Won Choi This paper studies common intraday jumps and relative contribution of these common jumps in realized correlation between individual stocks and market index, using high-frequency price data. We find that the common jumps significantly contribute in realized correlation at different threshold cut-offs and both common jumps and realized correlation are relatively consistent […]
Beta Estimation Using High Frequency Data
By Angela Ryu Using high frequency stock price data in estimating nancial measures often causes serious distortion. It is due to the existence of the market microstructure noise, the lag of the observed price to the underlying value due to market friction. The adverse eect of the noise can be avoided by choosing an appropriate […]
Time-Varying Beta: The Heterogeneous Autoregressive Beta Model
By Kunal Jain Conventional models of volatility estimation do not capture the persistence in high-frequency market data and are not able to limit the impact of market micro-structure noise present at very finely sampled intervals. In an attempt to incorporate these two elements, we use the beta-metric as a proxy for equity-specific volatility and use […]
Extreme Value Theory with High-Frequency Financial Data
By Abhinay Sawant Extreme Value Theory (EVT) is one of the most commonly applied models in financial risk management for estimating the Value at Risk of a portfolio. However, the EVT model is practical for estimation only when data is independent and identically distributed, which usually does not characterize financial returns data. This paper aims […]
