2007
DOI: 10.1002/fut.20281
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Determinants of Japanese Yen interest rate swap spreads: Evidence from a smooth transition vector autoregressive model

Abstract: This study investigates the determinants of variations in the yield spreads between Japanese yen interest rate swaps and Japan government bonds for a period from 1997 to 2005. A smooth transition vector autoregressive (STVAR) model and generalized impulse response functions are used to analyze the impact of various economic shocks on swap spreads. The volatility based on a GARCH (generalized autoregressive conditional heteroskedasticity) model of the government bond rate is identified as the transition variabl… Show more

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Cited by 12 publications
(3 citation statements)
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“…Minton, 1997; Lekkos and Milas, 2001; Asgharian and Karlsson, 2008). In addition, Lekkos and Milas (2001), Brown et al (2002), Fang and Muljono (2003), Huang et al (2008), and Chung and Chan (2010) indicate that there is a positive relationship between the liquidity premium and swap spreads. Duffie and Singleton (1997), Minton (1997), Lekkos and Milas (2001), Fang and Muljono (2003), and Chung and Chan (2010) present that the credit risk has a positive impact on swap spreads.…”
Section: Introductionmentioning
confidence: 99%
“…Minton, 1997; Lekkos and Milas, 2001; Asgharian and Karlsson, 2008). In addition, Lekkos and Milas (2001), Brown et al (2002), Fang and Muljono (2003), Huang et al (2008), and Chung and Chan (2010) indicate that there is a positive relationship between the liquidity premium and swap spreads. Duffie and Singleton (1997), Minton (1997), Lekkos and Milas (2001), Fang and Muljono (2003), and Chung and Chan (2010) present that the credit risk has a positive impact on swap spreads.…”
Section: Introductionmentioning
confidence: 99%
“…The study of interest rate determinants developed due to the variability of interest rate in the financial sector. Ying, Carl, and Maximo (2008) analyze the determinants of the Japanese Yen interest rate swap spread. They used a smooth transition vector autoregressive (STVAR) impulse response function model to estimate weekly data from August 8, 1997, to April 15, 2005.…”
Section: Literature Reviewmentioning
confidence: 99%
“…This is due to the fact that a shock at time t not only has an effect on the actual value of the i-th variable, but it can also push the system from a regime into another and thus modify the dynamic response at t +1, and so on. In the linear framework, future shocks are usually set to zero for convenience, because the expectation of the path of X after a shock, conditional on future shocks, is equal to the path of the variable when future shocks are set to their expected values (Huang et al, 2008). But this is not the case in the asymmetric framework, where shocks cannot be set to zero, although they can be treated as random realisations from the same stochastic process that generated X t { }.…”
Section: Symmetric and Asymmetric Shocks: Impulse-response Analysismentioning
confidence: 99%