Exposing more instruction-level parallelism in out-of-order superscalar processors requires increasing the number of dynamic in-flight instructions. However, large instruction windows increase power consumption and latency in the issue logic. We propose a design called Hybrid Dataflow Graph Execution (HeDGE) for conventional Instruction Set Architectures (ISAs). HeDGE explicitly maintains depen...

In this paper we identify risk factors for Asia-focused hedge funds through a modified style analysis technique. Using an Asian hedge fund index, we find that Asian hedge funds show significant positive exposures to emerging equity marketsand also hold significant portion of portfolio in cash and high credit rating bonds while they take short positions in world government and emerging market bo...

The purpose of this paper is to analyze the effect of either booms or disasters on the Sharpe Ratio. We provide a closed form expression of the Sharpe Ratio of an index whose log-return follows an arbitrary distribution. That is, besides variance, we allow for skewness, kurtosis and higher cumulants of the log-return to be non-zero. Our article has two main contributions. First, the Sharpe Rati...

Electricity industries worldwide have been restructured in order to introduce competition.As a result, decisionmakers are exposed to volatile electricity prices, which are positively correlated with those of natural gas in markets with price-setting gas-fired power plants. Consequently, gas-fired plants are said to enjoy a “natural hedge.” We explore the properties of such a built-in hedge for ...

In this paper, we will explain how to perfectly hedge under Heston’s stochastic volatility 17 model with jump-to-default, which is in itself a generalization of the Merton jump-todefault model and a special case of the Heston model with jumps. The hedging instru19 ments we use to build the hedge will be as usual the stock and the bond, but also the Variance Swap (VS) and a Credit Default Swap (...

This thesis consists of three essays in capital markets. The first essay presents a dynamic asset pricing model with heterogeneously informed agents. Unlike previous research, the general case where differential information leads to the problem of "forecasting the forecasts of others" and to non-trivial dynamics of higher order expectations is studied. In particular, it is proved that the model...

Data envelopment analysis (DEA) is a nonparametric method from the area of operations research that measures the relationship of produced outputs to assigned inputs and determines an efficiency score. This efficiency score can be interpreted as a performance measure in investment analysis. Recent literature contains intensive discussion of using DEA to measure the performance of hedge funds, as...

In this paper, we examine the risk characteristics and capital adequacy of hedge funds using Value-at-Risk (VaR) as the criterion for measuring risk and estimating capital requirements. We find that a vast majority of hedge funds are adequately capitalized, with the level of under-capitalization being only 3.1% for live funds and 7.5% for dead funds. Using extreme value theory, we confirm that ...

Stock-market trading is increasingly dominated by sophisticated professionals, as opposed to individual investors. Will this trend ultimately lead to greater market efficiency? I consider two complicating factors. The first is crowding—the fact that, for a wide range of “unanchored” strategies, an arbitrageur cannot know how many of his peers are simultaneously entering the same trade. The seco...