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 […]
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 […]
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 […]
Identifying Supply and Demand Elasticities of Iron Ore
By Zhirui Zhu This paper utilizes instrumental variables and joint estimation to construct efficiently identified estimates of supply and demand equations for the world iron ore market under the assumption of perfect competition. With annual data spanning 1960-2010, I found an upward sloping supply curve and a downward sloping demand curve. Both of the supply […]
Volatility and Correlation Modeling for Sector Allocation in International Equity Markets
By Melanie Fan and Kate Yuan Reliable estimates of volatility and correlation are crucial in asset allocation and risk management. This paper investigates Static, RiskMetrics, and Dynamic Conditional Correlation (DCC) models for estimating volatility and correlation by testing them in an asset allocation context. Optimal allocation weights for one year found using estimates from each […]
Possibility of Cost Offset in Expanding Health Insurance Coverage: Using Medical Expenditure Panel Survey 2008
By Catherine Moon The Patient Protection and Affordable Care Act aims to substantially reduce the number of the uninsured over time and asserts that the financial burden of extending insurance coverage to the previously uninsured will be offset by the benefit of the attendant improvement in their health. Motivated by this policy, I explore whether […]
Game Theory and The World Marathon Majors
By Benjamin Jones The World Marathon Majors (WMM) Series Prize was enacted in 2006 as a million dollar prize handed out annually to the top man and woman competing at five of the most important marathons. This paper considers the motivations behind setting up this prize, as well as the theoretical rationale for its existence […]
Neighborhood Effects and School Performance: The Impact of Public Housing Demolitions on Children in North Carolina
By Rebecca Aqostino This study explores how the demolitions of particularly distressed public housing units, through the Home Ownership for People Everywhere (HOPE VI) grants program, have affected academic outcomes for children in adjacent neighborhoods in Durham and Wilmington, North Carolina. I measure neighborhood-level changes and individual effects through regression analysis. All students in demolition […]
Market Power & Reciprocity Among Vertically Integrated Cable Providers
By Jeffery Shih-kai Shen This paper seeks to investigate the effects of vertical integration on the cable industry. There are two main goals that the research paper will attempt to address. The first is to build upon existing research on favoritism shown by multichannel video programming distributors (MVPDs) to affiliated video programming networks. Second, the […]
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 […]
