Optimal Hedge for Nodal Price Risk using FTR.

Modelling Optimal Hedge Ratio In The Presence Of Funding Risk

In the broad literature of corporate risk management classic models of optimal hedging assume a one-period hedging decision, and therefore no financing need arises to maintain the hedge position. The multi-period models are usually based on the assumption of no liquidity constraints, and accordingly the eventual financing need can always be met from the market. As a consequence of the recent cr...

Risk Assurance for Hedge Funds Using Zero Knowledge Proofs

This work introduces a new tool for a fund manager to verifiably communicate portfolio risk characteristics to an investor. We address the classic dilemma: How can an investor and fund manager build trust when the two party’s interests are not aligned? In addition to high returns, a savvy investor would like a fund’s composition to reflect his own risk preferences. Hedge funds, on the other han...

Hedge Fund Risk Modeling

Hedge Funds: Risk and Return

ince the early 1990s, hedge funds have become an increasingly popular asset class. The amount invested globally in hedge funds rose from approximately $50 billion in 1990 to approximately $1 trillion by the end of 2004.1 And because these funds characteristically use substantial leverage, they play a far more important role in the global securities markets than the size of their net assets indi...

Robust Estimation of the Optimal Hedge Ratio

When using derivative instruments such as futures in order to hedge a portfolio of risky assets, the primary objective is to estimate the optimal hedge ratio (OHR). When agents have mean-variance utility and the futures price follows a martingale, the OHR is equivalent to the minimum variance hedge ratio, which can be estimated by regressing the spot market return on the futures market return u...