Momentum and nonlinear price discovery in sovereign credit risk and equity markets of the organization of Islamic cooperation (OIC) countries
This paper hypothesized that there is a differential response by agents to changes in sovereign credit risk in both calm (low default risk) and turbulent (high default risk) markets. These market conditions create two different states of the world or regimes. The two model regimes have been made u...
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| Main Authors: | , |
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| 格式: | Article |
| 语言: | English |
| 出版: |
Penerbit Universiti Kebangsaan Malaysia
2012
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| 在线阅读: | http://journalarticle.ukm.my/6348/1/jeko_47-1.pdf http://journalarticle.ukm.my/6348/ http://www.ukm.my/fep/jem/content/2012-2.html |
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| 总结: | This paper hypothesized that there is a differential response by agents to changes in sovereign credit risk in both calm
(low default risk) and turbulent (high default risk) markets. These market conditions create two different states of the
world or regimes. The two model regimes have been made using threshold cointegration and vector error correction
model in three possible pairs of sovereign CDS, bond and equity markets for four emerging markets. Moreover, evidence
of momentum in cointegration relationships in 75% of the time. Positive and negative divergences adjust to equilibrium
relationship and value (threshold) at different speeds and magnitudes depending on the regime. Moreover, short-term
nonlinear adjustment process is found in 50% of possible asymmetries. The informativeness of each asset in a pair is
nonlinear and regime dependent in 14/24 possible price discovery processes. Therefore, dynamic interaction among
assets held in a portfolio shift with regime change. Investors, in making decisions regarding portfolio rebalancing and
hedging against downside risk need to identify when regimes change to make informed decisions while policy makers
need to identify the threshold below or above which policy intervention in the market becomes necessary. Linear modeling
may provide mis-specified and biased results as indicated by comparative results of linear and nonlinear modeling. |
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