Short-Term Risk-Free Rate

Keyword(s):  
2010 ◽  
Vol 13 (01) ◽  
pp. 93-112 ◽  
Author(s):  
YINGDONG LV ◽  
BERNHARD K. MEISTER

In this paper, we study the Kelly criterion in the continuous time framework building on the work of E.O. Thorp and others. The existence of an optimal strategy is proven in a general setting and the corresponding optimal wealth process is found. A simple formula is provided for calculating the optimal portfolio in terms of drift, short term risk-free rate and correlations for a set of generic multi-dimensional diffusion processes satisfying some simple conditions. Properties of the optimal investment strategy are studied. The paper ends with a short discussion of the implications of these ideas for financial markets.


Author(s):  
Toby A. White

The London Inter-bank Offered Rate (LIBOR), the rate for which banks can borrow short-term from each other, and perhaps the most common floating interest rate benchmark, is going away, and may become obsolete by end of year (EOY) 2021. LIBOR is being replaced by the Secured Overnight Financing Rate (SOFR) in the U.S. and by other country-specific alternative risk-free rates abroad. However, SOFR differs in several key respects from LIBOR; for example, LIBOR includes credit risk, is unsecured, is based on expert judgment, and has a full-term structure, whereas SOFR is a risk-free rate, is collateralized, is based on market transactions, and has no term structure. We examine the credit risk and maturity risk adjustments needed to ease the transition, along with fallback provisions for legacy contracts tied to LIBOR. We discuss the ramifications of rate transition to insurance companies, as it relates to their assets, liabilities, and internal processes. We then consider the perspective of both U.S. and global insurance regulators while highlighting specific areas of inquiry. We conclude with an overview of general recommendations for insurers to manage these risks, along with a detailed discussion about whether interest rate swaps tied to LIBOR will continue to be deemed as an effective hedge for accounting and valuation purposes.


Author(s):  
Ram Pratap Sinha

Performance analysis of mutual funds is usually made on the basis of return-risk framework. Traditionally, excess return (over risk-free rate) to risk ratios were used for the purpose mutual fund evaluation. Subsequently, the application of non-parametric mathematical programming techniques in the context of performance evaluation facilitated multi-criteria decision making. However,the estimates of performance on the basis of conventional programming techniques like DEA and FDH are affected by the presence of outliers in the sample observations. The present, accordingly uses more robust benchmarking techniques for evaluating the performance od sectoral mutual fund schemes based on observations for the second half of 2010. The USP of the present study is that it uses two partial frontier techniques (Order-m and Order- a) which are less susceptible to the problem of extreme data.


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