A challenging market environment combined with the investor's call for better alignment of interest have resulted in new fee structures in the hedge fund industry. An interesting concept is the `first-loss' framework, which offers additional downside protection by insuring investments in return for a bigger share in generated profits. This thesis aims to extend protection to an investment portfolio beyond the first tranche of losses insured by a first-loss principle. By considering a second tranche, the thesis suggests an upfront premium to a reinsurance party and in exchange, the investor gains full protection against all losses, not just the ones occurring in the first tranche. We identify a fund's underlying liquidity as a key parameter in deriving the price for the additional reinsurance and provide a method for computing the premium using two approaches: First, an analytic closed-form solution based on the Black-Scholes geometric Brownian motion framework and second, a numerical simulation using a Markov-switching model. In addition, a simplified backtesting method is implemented to evaluate the practical application of the concept. We obtain mixed results: for some hedge fund indices, historical losses were too high to be covered by the calculated premium. However, in some cases the reinsurer was able to offset losses by collected premiums.
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A challenging market environment combined with the investor's call for better alignment of interest have resulted in new fee structures in the hedge fund industry. An interesting concept is the `first-loss' framework, which offers additional downside protection by insuring investments in return for a bigger share in generated profits. This thesis aims to extend protection to an investment portfolio beyond the first tranche of losses insured by a first-loss principle. By considering a second tran...
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