Penerapan Teori Nilai Ekstrim dalam Pemodelan Risiko Investasi Pasar Negara Berkembang

  • Radian Januari Situmeang Universitas Cenderawasih
Keywords: Peaks Over Threshold, VaR, Risiko Investasi, Nilai Ekstrim

Abstract

Pasar negara berkembang memiliki risiko yang besar. Hal tersebut diakibatkan karena ketidakstabilan ekonomi dan politik negara berkembang. Mengetahui keakuratan ukuran risiko investasi sangat bermanfaat untuk meningkatkan kewaspadaan investor terutama jika ingin berinvestasi dalam pasar negara berkembang seperti Argentina, Brazil, Meksiko, Indonesia, India, dan Korea. Karakter dari data pengembalian investasi pasar negara berkembang diselidiki. Pemodelan risiko pengembalian investasi dilakukan menggunakan metode Peaks Over Threshold (POT). Ukuran risiko yang digunakan adalah perhitungan nilai VaR dari masing-masing model sebagai acuan tingkat profitabilitas dan tingkat kerugian investasi pada masing-masing negara

Downloads

Download data is not yet available.

References

Balkema, A. A., & De Haan, L. (1974). Residual life time at great age. The Annals of probability, 792-804.
Bekaert, G., Erb, C. B., Harvey, C. R., & Viskanta, T. E. (1998). Distributional characteris- tics of emerging market returns and asset allocation. The Journal of Portfolio Management, 24(2), 102-116.
Christoffersen, P. F. (1998). Evaluating interval forecasts. International economic review, 841-862.
Christoffersen, P. F., & Diebold, F. X. (2000). How relevant is volatility forecasting for financial risk management?. Review of Economics and Statistics, 82(1), 12-22.
Christoffersen, P., & Pelletier, D. (2004). Backtesting value-at-risk: A duration-based ap- proach. Journal of Financial Econometrics, 2(1), 84-108.
Cont, R. (2001). Empirical properties of asset returns: stylized facts and statistical issues.
Embrechts, P., Resnick, S. I., & Samorodnitsky, G. (1999). Extreme value theory as a risk management tool. North American Actuarial Journal, 3(2), 30-41.
EMGP. (2016). Emerging market global players.
Fisher, R. A., & Tippett, L. H. C. (1928). Limiting forms of the frequency distri- bution of the largest or smallest member of a sample. In Mathematical Proceedings of the Cambridge Philosophical Society (Vol. 24, No. 02, pp. 180-190). Cambridge University Press.
Garten, J. E. (1998). The big ten: The big emerging markets and how they will change our lives. Basic Books.
Gencay, R., & Selcuk, F. (2004). Extreme value theory and Value-at-Risk: Relative perfor- mance in emerging markets. International Journal of Forecasting, 20(2), 287-303.
Gilli, M., & Kllezi, E. (2006). An application of extreme value theory for measuring financial risk. Computational Economics, 27(2), 207-228.
International Monetary Fund. (2015). World Economic Outlook: Ad- justing to Lower Commodity Prices. Washington.
Kupiec, P. H. (1995). Techniques for verifying the accuracy of risk measurement models. The journal of Derivatives, 3(2), 73-84.
Marimoutou, V., Raggad, B., & Trabelsi, A. (2009). Extreme value theory and value at risk: application to oil market. Energy Economics, 31(4), 519-530.
McNeil, A. J. (1999). Extreme value theory for risk managers. Departement Mathematik ETH Zentrum.
MSCI.(2017). Global Indexes- Delivering the Modern Index Strategy.
Pickands III, J. (1975). Statistical inference using extreme order statistics. the Annals of Statistics, 119-131.
Published
2022-07-31
How to Cite
Situmeang, R. J. (2022). Penerapan Teori Nilai Ekstrim dalam Pemodelan Risiko Investasi Pasar Negara Berkembang. SAINTIFIK, 8(2), 204 - 212. https://doi.org/10.31605/saintifik.v8i2.380