KOMPARATIVNA ANALIZA DEŠAVANJA NA SVETSKOM TRŽIŠTU NA PRIMERU IZABRANOG PORTFOLIA I VAR METODE
DOI:
https://doi.org/10.5937/Oditor2302054CKljučne reči:
VaR, finansijska kriza, analiza portfoliaApstrakt
Tema rada se fokusira na kretanje četiri berzanska indeksa u periodu od 2007. do 2022. godine, sa ciljem procene koja kriza je imala veći uticaj na pojedinačne indekse kao i na portfolio kreiran putem analize srednje varijanse. Takođe, sam rizik meren je metodom VaR (Vrednost u riziku). Svaki indeks predstavlja jednu klasu imovine, i računarska kalkulacija korišćenjem analize srednje varijanse predložila je određene pondere, koji su korišćeni u daljim proračunima. Glavni zaključak ovog rada jeste da je kriza u 2020. imala snažniji uticaj na sve indekse, i dovela do većih volatilnosti u prihodima nego što je kriza tokom 2008. godine. Dalje, portfolio kreiran putem analize srednjih vrednosti za investitore koji nisu skloni riziku je potvrdio ove rezultate, pokazujući najveću volatilnosti u prihodima celog portfolia u 2020. godini.
##plugins.themes.default.displayStats.downloads##
Reference
Angelidis, T., Degiannakis, S. (2019). Modeling Risk in Three Markets: VaR Methods for Long and Short Trading Positions. International Conference of Computational Methods in Sciences and Engineering.
Bedi, P., Shankar, D., Agnihotri, S., & Kalra, J. (2018). Comparison of VaR Methods: The Case of Indian Equities. Indian Journal of Finance, 33.
Buczynski, M., & Chlebus, M. (2020). Old-fashioned parametric models are still the best: a comparison of VaR approaches in several volatility states. Journal of Risk Model Validation.
Chen, J., Sit, T., & Wong, H. (2019). Simulation based VaR for nonlinear portfolios. Quantitative Finance.
Chipping, T. (2014). Scaling laws: A viable alternative to a VaR. Quantitative Finance.
Craig, C. (2019). How to express Risk, Confidence and (Un)Certainty.
Francq, C., & Zakoian, J.-M. (2019). Virtual Historical Simulation for estimating the conditional VaR of large portfolios. Journal of Exonometrics.
Goncalves, A. (2022). Von Andrei Goncalves: http://andreigoncalves.com/busfin4221-module2/ abgerufen
Group of Thirty. (1993). Derivatives: Practice and Principles. Global Derivatives Study Group.
Hiller, T. (2022). Allocation of portfolio risk and outside options. Managerial and Decision Economics.
Hull, JC (2017). Equities, Fixed Income Securities and Derivatives. New Jersey: John Wiley & Sons.
https://web.wpi.edu/Pubs/ETD/Available/etd-050905-104553/unrestricted/Rajesh_Thesis.pdf abgerufen
Kulali, DI (2016). Variance-Covariance (Delta Normal) Approach of VaR Models: An Example from Istanbul Stock Exchange. Research Journal of Finance and Accounting.
Liu, Y., & Luger, R. (2022). On the way to bias reduction. Emory University.
Markowitz, H. (1952). Portfolio Selection. The Journal of Finance, Vol. 7, No. 1.
Marra, S. (2017). Predicting Volatility. Lazard Asset Management.
Meissner, G., Bhaduri, R., Linsky, L., & Yuan, E. (2021). Portfolio Risk -Beyond Volatility. Wilmott.
Mendes, BV (2022). Computing Conditional VaR using Time-varying Copulas. Risk.
Morgan/Reuters, J. (1995). Risk Metrics Technical Document. JP Morgan.
Nabella, R., Maski, G., & Wahyudi, S. (2020). Systematic Risk Analysis using CoVaR Model: Evidence in Indonesia. Jurnal Ekonomi dan Studi Pembangunan.
Olsen, D. (2020). Value at Risk Models. John Wiley & Sons.
Rice, B. (2017). The Upside of the Downside of Modern Portfolio Theory. Investments & Wealth Institute.
Takino, K., & Ishinagi, Y. (2022). On mean-variance analysis of a bank's behavior. Finance Research letters.
Xiang, Y., & Zhang, H. (2022). Comparison and Forecasting of VaR Models for Measuring Financial Risk: Evidence from China. Discrete Dynamics in Nature and Society.
