scholarly journals Dependence Structures in Chinese and U.S. Financial Markets: A Time-Varying Conditional Copula Approach

2008 ◽  
Author(s):  
Jian Hu
Keyword(s):  
Financial Markets ◽  
Time Varying ◽  
Conditional Copula ◽  
Copula Approach ◽  
Dependence Structures

Measuring Dependence Between the USA and the Asian Economies: A Time-varying Copula Approach

2019 ◽  
Vol 20 (4) ◽  
pp. 962-980 ◽  
Author(s):  
Shegorika Rajwani ◽  
Dilip Kumar
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Financial Markets ◽  
Stock Markets ◽  
Global Financial Crisis ◽  
Tail Dependence ◽  
Time Varying ◽  
The Us ◽  
Asian Economies ◽  
Copula Approach

During the past few years, many of the financial markets have gone through devastating effects due to the crisis in one or the other economy of the world. The recent global financial crisis has triggered dramatic movements in various stock markets which may arise from interdependence or contagion between the markets. This article attempts to measure the contagion between the equity markets of Asia and the US stock market. The countries considered in the Asian group are China, India, Indonesia, South Korea, Taiwan, Hong Kong, Malaysia and Japan. Most of the Asian economies have experienced drastic higher volatility and uncertainty in the financial markets. If the markets are contagious, then the investors will be unable to reap benefits through international diversification of the portfolio. In such a case, the policymakers will further frame policies so that they can insulate themselves from inflicting heavy damage from various crises. To achieve our goal, we make use of the time-varying copula approach which helps us to study the joint behaviour of the series based on their marginal distribution. Time-varying copula approach can also capture the non-linear dependence in the series and exhibits a rich pattern of tail behaviour. Our findings support the contagion between the Asian stock markets and the US stock market during the global financial crisis. This article also highlights that the increased tail dependence is an important factor for the contagion between the Asian stock markets and the US market.

scholarly journals HETEROGENEOUS EXPECTATIONS AND ASSET PRICE DYNAMICS

2020 ◽  
pp. 1-31 ◽  
Author(s):  
Noemi Schmitt
Keyword(s):  
Financial Markets ◽  
Asset Price ◽  
Realistic Model ◽  
Fixed Number ◽  
Time Varying ◽  
Pricing Model ◽  
Rational Agents ◽  
Asset Pricing Model ◽  
Method Of Simulated Moments ◽  
Agents Heterogeneity

Within the seminal asset-pricing model by Brock and Hommes (Journal of Economic Dynamics Control 22, 1235–1274, 1998), heterogeneous boundedly rational agents choose between a fixed number of expectation rules to forecast asset prices. However, agents’ heterogeneity is limited in the sense that they typically switch between a representative technical and a representative fundamental expectation rule. Here, we generalize their framework by considering that all agents follow their own time-varying technical and fundamental expectation rules. Estimating our model using the method of simulated moments reveals that it is able to explain the statistical properties of the daily and monthly behavior of the S&P500 quite well. Moreover, our analysis reveals that heterogeneity is not only a realistic model property but clearly helps to explain the intricate dynamics of financial markets.

scholarly journals Measuring Dynamic Return and Volatility Connectedness among Nigerian Financial Markets

2020 ◽  
pp. 169-191
Author(s):  
Elias A. Udeaja
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Financial Markets ◽  
Oil Prices ◽  
Money Market ◽  
Time Varying ◽  
External Shocks ◽  
Treasury Bill ◽  
Official Exchange Rate

This study employs the connectedness measure of Diebold and Yilmaz (2012, 2014) to examine the intensity of connectedness among the Nigerian financial markets for the period January 2000 to December 2018. The study used all shares index, Treasury bill rate and Naira/USD official exchange rate to measure stock market, money market and exchange rate market, respectively. The study found connectedness among the Nigerian financial markets to be highly time-varying and appear to be higher during the period of high depreciation of the naira which coincides with the period of falling oil prices and domestic economic meltdown of 2014 and 2016, respectively. This shows that, relative to external shocks, connectedness among financial markets is likely to get amplified during the time of domestic turbulence. The paper, therefore recommends that policymakers should look inward whenever policy discuss revolves around the increasing integration of financial markets to save the economy from aggravation of contagion.

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