THE PORTFOLIO MANAGEMENT WITH ISLAM EQUITY IN KOREA STOCK MARKET

Öz

This paper investigated the volatility spillover effects between Islamic stock markets and Korean stock market using the AR-DCC-GARCH models. First, we found bi-directional volatility transmissions between the Islamic and Korean financial markets. Second, we compared the correlation of KOSPI-DJIM portfolio and that of KOSPI-SHX portfolio. It shows the former has stronger linkage than the latter. In the portfolio perspective, the S&P 500 Sharia stock Index (SHX) acts as a better hedge asset than DJIM against the risk of stock market. Lastly, the hedge ratio between two Islamic stock market and Korean stock market pairs is generally low, indicating that the Korean stock risk can be effectively hedged by taking a short position in the Islamic stock markets. In comparison with two pairs, the pair of KOSPI-SHX relatively shows a cheaper hedging cost than that of KOSP-DJIM pair. This evidence indicates that S&P 500 Sharia index serve more effective hedging role against the risk of Korean stock market. 

Anahtar Kelimeler

• : Islamic market,Spillover effect,Hedge ratio

KORE STOK PAZARINDA İSLAM EŞİTLİ PORTFÖY YÖNETİMİ

Öz

Bu makalede, AR-DCC-GARCH modelleri kullanılarak İslami borsalar ile Kore borsaları arasındaki oynaklıkların yayılma etkileri araştırılmıştır. İlk olarak, İslami ve Kore finans piyasaları arasında iki yönlü dalgalanmalar bulundu. İkincisi, KOSPI-DJIM portföyünün ve KOSPI-SHX portföyünün korelasyonunu karşılaştırdık. İlkinin ikincisinden daha güçlü bir bağlantı olduğunu gösterir. Portföy perspektifinde S & P 500 Sharia hisse senetleri endeksi (SHX), hisse senedi piyasası riskine karşı DJIM'den daha iyi bir hedging varlıkları olarak hareket etmektedir. Son olarak, iki İslami hisse senedi piyasası ile Koreli borsa çiftleri arasındaki risk oranı genel olarak düşüktür. Bu durum, Koreli hisse senedi piyasalarının İslami borsalarda kısa bir pozisyon alarak etkin bir şekilde korunabileceğini göstermektedir. İki çiftle karşılaştırıldığında, KOSPI-SHX çifti nispeten KOSP-DJIM çiftininkinden daha ucuz bir hedging maliyeti gösterir. Bu kanıt, S & P 500 Sharia endeksinin Koreli borsa riskine karşı daha etkin bir riskten korunma rolüne hizmet ettiğini göstermektedir.

Anahtar Kelimeler

• İslami pazar,Spillover etkisi

Kaynakça

1. ÁAlvarez-Díiaz M, Hammoudeh S, & Gupta R. (2014). Detecting predictable non-linear dynamics in Dow Jones Islamic Market(DJIM) and Dow Jones Industrial Average(DJIA) indices using nonparametric regressions. North American Journal of Economics and Finance, 29, 22–35.
2. Ajmia, N. A. (2014). How strong are the causal relationships between Islamic stock markets and conventional financial systems? Evidence from linear and nonlinear tests. International Financial Markets, Institutions and Money, 28, 213– 227.
3. Al-Khazali, O. (2014). Do Islamic stock indexes outperform conventional stock indexes? A stochastic dominance approach. Pacific-Basin Finance Journal, 28, 29–46.
4. Al-Khazali, O., Lean, H. H., & Samet, A. (2014). Do Islamic stock indexes outperform conventional stock indexes? A stochastic dominance approach. Pacific-Basin Finance Journal, 28, 29–46.
5. Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307-327.
6. Ciner, C., Gurdgiev, C., Lucey, & B. M. (2013). Hedges and safe havens: an examination of stocks, bonds, gold, oil and exchange rates. International Review of Financial Analysis, 29, 202-211.
7. Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of American Statistical Association, 74 (366), 427-431.
8. Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987-1007.

9. Engle, R., Ito, T., & Lin, W. (1990). Meteor showers or heat waves?: Heteroscedasticity intra-daily volatility in the foreign exchange markets. Econometrica, 58, 525–542.
10. Engle, R. F., & Susmel, R. (1993). Common volatility in international equity markets. Journal of Business and Economic Statistics, 11, 67–176.
11. Engle, R., & Kroner, K. (1995). Multivariate simultaneous generalized ARCH, Econometric Reviews, 11, 122–150.
12. Engle, R. (2002). Dynamic conditional correlation: a simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business & Economic Statistics, 20(3), 339-350.
13. Ho, R., & Yusuf, Z. (2014). Performance of global Islamic versus conventional share indices: International evidence. Pacific-Basin Finance Journal, 28, 110–121.
14. Ho, S. F. C. (2014). Performance of global Islamic versus conventional share indices: International evidence. Pacific-Basin Finance Journal, 28, 110–121.
15. Hood, M., & Malik, F. (2013). Is gold the best hedge and a safe haven under changing stock market volatility? Review of Financial Economics, 22(2), 47-52.
16. Hosking, J. R. M. (1980). The multivariate portmanteau statistics. Journal of the American Statistical Association, 75 (371), 602-608.
17. Inclán, C., & Tiao, G. C. (1994). Use of cumulative sums of squares for retrospective detection of changes of variance. Journal of the American Statistical Association, 89 (427), 913-923.
18. Jawadi, F. (2014). Conventional and Islamic stock price performance: An empirical investigation. International Economics, 137, 73–87.
19. Jawadi F., Jawadi N., & Louhichi W. (2014). Conventional and Islamic stock price performance: An empirical investigation. International Economics, 137, 73–87.
20. Jihed M., & Mansour W. (2014, July). Islamic equity market integration and volatility spillover between emerging and US stock markets. North American Journal of Economics and Finance, 29, 452-470.
21. Kroner, K. F., & Sultan, J. (1993). Time-varying distributions and dynamic hedging with foreign currency futures. Journal of Financial and Quantitative Analysis, 28(4), 535-551.
22. Kwiatkowski, D., Phillips, P. C. B., & Schmidt, P., Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: how sure are we that economic time series have a unit root? Journal of Econometrics, 54(1-3), 159-178.
23. McLeod, A. I., & Li, W. K. (1983). Diagnostic checking of ARMA time series models using squared residual autocorrelations. Journal of Time Series Analysis, 4(4), 269-273.
24. Moghul, F. U. (2006). Introduction to Islamic Finance. London: Publication of the Federal Reserve Bank of Boston.
25. Narayan, P. K., & Narayan S. (2010). Modelling the impact of oil prices on Vietnam's stock prices. Applied Energy, 87(1), 356-361.
26. Nazrol, K., Kamil, M. (2014). Heads we win, tails you lose: Is there equity in Islamic equity funds? Pacific-Basin Finance Journal, 28, 7–28.
27. Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrica, 75(2), 335-346.
28. Reboredo, J. C. (2013). Is gold a safe haven or a hedge for the US dollar? Implications for risk management, Journal of Banking & Finance, 37(8), 2665-2676.
29. Rizvi S.A, Dewandaru G, Bacha O.I, Masih M. (2014, August). An analysis of stock market efficiency: Developed vs Islamic stock markets using MF-DFA. Physica A: Statistical Mechanics and its Applications, 407, 86-99.
30. Saiti, B. (2014, December). The Diversification Benefits from Islamic Investment during the Financial Turmoil: The case for the U.S-based Equity Investors. Borsa Istanbul Review, 14(4), 196-211.
31. Sansó, A., Aragó, V., & Carrion, J. L. (2004). Testing for changes in the unconditional variance of financial time series. Revista de Economía Financiera, 4, 32-53.
32. Shamsuddin, A. (2014). Are Dow Jones Islamic equity indices exposed to interest rate risk?. Economic Modelling, 39, 273–281.
33. Wahyudi, I. (2014). Interdependence between Islamic capital market and money market: Evidence from Indonesia. Borsa Istanbul Review, 14, 32-47.
34. Wahyudi I., & Sani G.A. (2014, March). Interdependence between Islamic capital market and money market: Evidence from Indonesia. Borsa Istanbul Review, 14, 32-47.