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Purpose – This research pinpoints the limitations of conventional models for evaluating the performance of hedge funds and attempts to provide a new framework for modeling the dynamics of risk structures of hedge funds.

Methodology/approach – This chapter aims to explore how the systematic risk exposures of hedge funds vary over time and depend on exogenous variables that managers are supposed to use in their dynamic investment strategies. To achieve this, we used a Bayesian time-varying CAPM-based beta model within a state space technology.

Findings – The results showed that the volatility, term spread rate, and shocks in liquidity influence significantly on the time variation of hedge funds. Besides, the dynamics of beta indicates that the transmission channels of systematic risk are mainly the leverage levels of hedge funds and liquidity shocks.

Originality/value of chapter – These results are original because they help to explain how expected and unexpected hedge fund returns are correlated with the systematic risk factors via the beta dynamics.

We examine whether the hedging effectiveness of crude oil futures is affected by asymmetry in the return distribution by applying tail-specific metrics to compare the hedging effectiveness of both short and long hedgers. The hedging effectiveness metrics we use are based on lower partial moments (LPM), value at risk (VaR) and conditional value at risk (CVaR). Comparisons are applied to a number of hedging strategies including ordinary least square (OLS), and both symmetric and asymmetric GARCH models. We find that OLS provides consistently better performance across different measures of hedging effectiveness as compared with GARCH models, irrespective of the characteristics of the underlying distribution.

The recent financial crisis triggered the greatest recession since the 1930s and had a devastating impact on households’ wealth and on their capacity to reduce their indebtedness. In the aftermath, it became clear that there is significant room for improvement in property risk management. While there has been innovation in the management of corporate finance risk, real estate has lagged behind. Now is the time to expand the range of tools available for hedging households’ risks and, thus, to advance the democratization of finance. Property equity represents the major asset in households’ portfolios in developed and undeveloped countries. The present paper analyzes a set of potential innovations in real estate risk management, such as price level-adjusted mortgages, property derivatives, and home equity value insurance. Financial institutions, households, and governments should work together to improve the performance of the financial instruments available and, thus, to help mitigate the worst impacts of economic cycles.

Existing financial market architectures combine astonishing complexity with tight coupling, making them prone to systemic crises or “normal accidents” and placing extraordinary demands on regulation. In light of this, we consider two routes for regulatory reform. A “high modernist” possibility attempts to regulate financial markets as currently designed. This path means not only increasing the capacities of regulators and rating agencies to estimate complex risks, but also designing systems that can manage more radical forms of uncertainty through learning and bargaining. We consider a series of proposals and challenges that lie down this path. An alternative possibility takes seriously the notion that regulation constitutes markets and uses the current crisis to rethink market architectures themselves, especially their complexity and tight coupling. Preventing failures from spiraling into systemic crises may involve using regulation first, to simplify financial products and their interconnectedness, and second, to create redundancies or hedge bets through specialized financial subsectors organized around alternative principles, including recapitalized community banks, credit unions, mutuals, and public financial institutions.

The purpose of this paper is to determine the best way to hedge currency risk using futures contracts. Various techniques of hedging currency risk are compared, and a new method is proposed. This paper also documents the duration and the expiration effects on the optimal hedge ratio. The main finding of this paper is that, of the techniques examined, the hedge ratio derived by Vishwanath (1993) performs the best. This paper also finds that as the duration of the hedge increases, the hedge ratio increases. For one week and two weeks duration hedges, as the time left to futures contract expiration increases, the hedge ratio increases and there is linear relationship. The results are not as pronounced for four and six-week duration hedges.

I review the burgeoning literature on applications of Markov regime switching models in empirical finance. In particular, distinct attention is devoted to the ability of Markov Switching models to fit the data, filter unknown regimes and states on the basis of the data, to allow a powerful tool to test hypotheses formulated in light of financial theories, and to their forecasting performance with reference to both point and density predictions. The review covers papers concerning a multiplicity of sub-fields in financial economics, ranging from empirical analyses of stock returns, the term structure of default-free interest rates, the dynamics of exchange rates, as well as the joint process of stock and bond returns.