Dealing with Data: An Empirical Analysis of Bayesian Black-Litterman Model Extensions
By Daniel Roeder Portfolio Optimization is a common financial econometric application that draws on various types of statistical methods. The goal of portfolio optimization is to determine the ideal allocation of assets to a given set of possible investments. Many optimization models use classical statistical methods, which do not fully account for estimation risk in […]
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 […]
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 […]
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 […]
