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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.

Purpose – The purpose of this chapter is to present an investigation on the dynamic linkages between global macro hedge funds and traditional financial assets of developed and emerging markets.

Methodology/approach – To explore relationships among these price indices, we analyse Granger causality and vector autoregression (VAR) dynamics through impulse response functions. Besides, multivariate cointegration is used to know long-term relationships between assets and allows risk-averse investors to reduce uncertainty. Finally, a vector error correction model (VECM) provides active asset managers the opportunity to anticipate short-term price movements.

Findings – Our results show that in a Granger causality sense, we observe long- and short-term relationships between global macro hedge funds and traditional financial assets for Canada, France and Germany. This implies that opportunities for international portfolio diversification are significantly lower for countries having relationships between assets. For Canada, France and Germany, the risk-averse investors can reduce their long-term volatility by investing according to the cointegrating vector, whereas active managers can benefit from the knowledge of short-term asset price movements. The VEC Pairwise Granger causality in the short term confirms our analysis of causality according to VAR models.

Originality/value of paper – These results are original because they help the investor to understand the dynamics of the relationship between global macro hedge funds and traditional financial assets.

During the global financial crisis of 2008–2009, most developed and emerging economies and financial markets have recorded important financial losses. Those economies have experienced momentous corrections, and their assets were significantly devaluated, implying many losses and bankruptcies for banks, investors, and firms. Overall, despite continuing efforts made by governments and central banks to support their financial systems, most financial markets (stock markets, derivative markets, monetary markets, and currency markets) have been strongly affected by this crisis. Furthermore, the rapid transmission of the US subprime crisis to several European and Asian developed and emerging countries and the transformation into a global financial and economic crisis have revealed a high level of financial integration and linkage with the US market. The financial shocks have also induced negative feedbacks to macroeconomic indicators, suggesting significant relationships between financial markets and macroeconomies.

Since the recent global financial crisis began in 2008–2009, there has been strong decline in financial markets and investment, huge losses and bankruptcies that have led to a major financial downturn, and a significant economic recession for most developed and emerging economies. Some economists and financial analysts now consider this crisis to be more harmful in some ways than the Great Depression of 1929. Those economists and analysts point to a number of technical issues and limitations associated with the present financial systems, monetary institution rules, accounting and rating formulas, and investment strategies and choices. To try to overcome the financial downturn and, at the same time, to protect the banking systems and financial markets and to reassure investors, central banks have attempted various solutions, governments have introduced new plans (e.g., the Paulson plan), policymakers have included these topic in their political programs, and several conferences and political summits have been organized to discuss the issues. There have been two prevailing lines of thought. According to one line of thought, the extreme risk associated with speculation in sophisticated financial products, the nature of the credit-banking economic system, the gap between real and financial economies, and the strategic errors of monetary institutions constitute the main sources of the financial crisis.¹ On the other hand, it is now argued that this trend needs to be altered. According to that view, monetary institutions, banking and trading systems, rating agencies, and asset pricing modeling need to be reassessed (Barnett, 2012).