NBER Working Papers and Publications
|November 2013||The Cost of Capital for Alternative Investments|
with Erik Stafford: w19643
We document that the risks and pre-fee returns of broad hedge fund indices can be accurately matched with simple equity index put writing strategies, which provide monthly liquidity and complete transparency over their state-contingent payoff profiles. This nonlinear risk exposure combines with large allocations, typical among investors in alternatives, to produce required rates of return that are more than twice as large as those implied by popular linear factor models. Despite earning annualized excess returns over 6% between 1996 and 2010, many hedge fund investors have not covered their proper cost of capital.
Published: JUREK, J. W. and STAFFORD, E. (2015), The Cost of Capital for Alternative Investments. The Journal of Finance, 70: 2185–2226. doi:10.1111/jofi.12269
|September 2011||Crashes and Collateralized Lending|
with Erik Stafford: w17422
This paper develops a parsimonious static model for characterizing financing terms in collateralized lending markets. We characterize the systematic risk exposures for a variety of securities and develop a simple indifference-pricing framework to value the systematic crash risk exposure of the collateral. We then apply Modigliani and Miller's (1958) Proposition Two (MM) to split the cost of bearing this risk between the borrower and lender, resulting in a schedule of haircuts and financing rates. The model produces comparative statics and time-series dynamics that are consistent with the empirical features of repo market data, including the dramatic change in financing terms for structured products during the credit crisis of 2007-2008.
|February 2006||Optimal Value and Growth Tilts in Long-Horizon Portfolios|
with Luis M. Viceira: w12017
We develop an analytical solution to the dynamic portfolio choice problem of an investor with power utility defined over wealth at a finite horizon who faces an investment opportunity set with time-varying risk premia, real interest rates and inflation. The variation in investment opportunities is captured by a flexible vector autoregressive parameterization, which readily accommodates a large number of assets and state variables. We find that the optimal dynamic portfolio strategy is an affine function of the vector of state variables describing investment opportunities, with coefficients that are a function of the investment horizon. We apply our method to the optimal portfolio choice problem of an investor who can choose between value and growth stock portfolios, and among these equity ...
Published: Jakub W. Jurek & Luis M. Viceira, 2011. "Optimal Value and Growth Tilts in Long-Horizon Portfolios," Review of Finance, European Finance Association, vol. 15(1), pages 29-74. citation courtesy of