interest rate futures
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2020 ◽  
Vol 33 (11) ◽  
pp. 5051-5091 ◽  
Author(s):  
Matthias Fleckenstein ◽  
Francis A Longstaff

Abstract A long-standing asset pricing puzzle is that the funding rates in derivatives contracts often differ from those in cash markets. We propose that the cost of renting intermediary balance sheet space may help resolve this puzzle. We study a persistent basis in what is arguably the largest derivatives market, namely, the interest rate futures market. This basis is strongly related to exogenous measures of intermediary balance sheet usage and proxies for the balance sheet costs imposed by debt overhang problems and capital regulation. These results extend to the cash derivatives bases documented in many of the other largest financial markets.


Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-20
Author(s):  
Steve Y. Yang ◽  
Esen Onur

The primary objective of this paper is to study the post Dodd-Frank network structure of the interest rate swap market and propose a set of effective complexity measures to understand how the swap users respond to market risks. We use a unique swap dataset extracted from the swap data repositories (SDRs) to examine the network structure properties and market participants’ risk management behaviors. We find (a) the interest rate swap market follows a scale-free network where the power-law exponent is less than 2, which indicates that few of its important entities have a significant number of contracts within their subsidiaries (a.k.a. interaffiliated swap contracts); (b) swap rate volatility Granger-causes swap users to increase their risk sharing intensity at entity level, but market participants do not change their risk management strategies in general; (c) there is a significant contemporaneous correlation between the swap rate volatility and the underlying interest rate futures volatility. However, interest rate swap volatility does not cause the underlying interest rate futures volatility and vice versa. These findings provide the market regulators and swap users a better understanding of interest rate swap market participants’ risk management behaviors, and it also provides a method to monitor the swap market risk sharing dynamics.


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