A Fuzzy Random Walk Technique to Forecasting Volatility of Iran Stock Exchange Index

Advances in Mathematical Finance and Applications

مقاله 2، دوره 4، شماره 1، خرداد 2019، صفحه 15-30   

نوع مقاله: Research Paper

شناسه دیجیتال (DOI): 10.22034/amfa.2019.583911.1172

نویسندگان

Navid Nasr¹؛ Morteza Farhadi Sartangi^{* 2}؛ Zahra Madahi³

¹Department of Industrial and Mechanical Engineering , Qazvin Branch.,Islamic Azad University

²Department of Industrial Engineering, Payam Noor University (PNU), P. O .Box 19395-3697 Tehran, Iran

³Department of Accounting, Islamic Azad Univery

چکیده

Study of volatility has been considered by the academics and decision makers dur-ing two last decades. First since the volatility has been a risk criterion it has been used by many decision makers and activists in capital market. Over the years it has been of more importance because of the effect of volatility on economy and capital markets stability for stocks, bonds, and foreign exchange markets. This research first deals with the evaluation of 8 various models to forecasting volatility of stock index using daily data of Tehran stock exchange. The used models include simple ones such as random walk as well as more complex models like Arch and Garch group. Forecasting volatility index method is developed in this paper. This method is based a random walk using a fuzzy logic approach. This method is used to fore-casting volatility of Iran stock exchange index. The proposed method is assessed by comparing other methods such as Moving Average, Random walk… Results show that our proposed method is compatible with existent methods.

کلیدواژه‌ها

Fuzzy system؛ random walk؛ GK model؛ Tehran stock exchange index

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