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Information Seminar Paper

Title

AN EM ALGORITHM FOR ESTIMATING THE PARAMETERS OF THE NORMAL INVERSE GAUSSIAN DISTRIBUTION WITH APPLICATION IN FINANCE

Pages

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Abstract

 THE MOST IMPORTANT STEP IN FINANCIAL RISK IS TO FIND A GOOD MODEL FOR THE ANALYSES AND ESTIMATE THE RISK MEASURES. THE NORMAL INVERSE GAUSSIAN (NIG) DISTRIBUTION IS THE MOST USED TOOL FOR THE MODELING OF FINANCIAL DATA. THE NIG DISTRIBUTION IS ABLE TO MODEL SYMMETRIC AND ASYMMETRIC DISTRIBUTIONS WITH POSSIBLY LONG TAILS IN BOTH DIRECTIONS. MOREOVER, THE NIG DISTRIBUTION POSSESSES A NUMBER OF ATTRACTIVE THEORETICAL PROPERTIES, AMONG OTHERS ITS ANALYTICAL TRACTABILITY. MOREOVER CHOOSING THE BEST METHOD FOR ESTIMATING THE PARAMETERS OF DISTRIBUTION IS ONE OF THE IMPORTANT ASPECTS IN STATISTICAL VIEWPOINT. ONE STRENGTH OF OUR APPROACH IS THAT WE INTRODUCE AN EXPECTATION–MAXIMIZATION (EM) ALGORITHM TO COMPUTE THE MAXIMUM LIKELIHOOD ESTIMATES OF PARAMETERS WHICH INVOLVES TWO STEPS. A DATA SET OF THE TEHRAN STOCK EXCHANGE INDEX IS USED TO ILLUSTRATE THE PROPOSED RESULTS. WE ALSO APPLY THE NIG DISTRIBUTION TO EVALUATION OF THE TEHRAN STOCK EXCHANGE DATA IN VALUE-AT-RISK FRAMEWORK.

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  • Cite

    APA: Copy

    PANAHI, HANIEH, & JAFARI, FATEMEH. (2016). AN EM ALGORITHM FOR ESTIMATING THE PARAMETERS OF THE NORMAL INVERSE GAUSSIAN DISTRIBUTION WITH APPLICATION IN FINANCE. SEMINAR OF MATHEMATICS AND HUMANITIES, FINANCIAL MATHEMATICS. SID. https://sid.ir/paper/940291/en

    Vancouver: Copy

    PANAHI HANIEH, JAFARI FATEMEH. AN EM ALGORITHM FOR ESTIMATING THE PARAMETERS OF THE NORMAL INVERSE GAUSSIAN DISTRIBUTION WITH APPLICATION IN FINANCE. 2016. Available from: https://sid.ir/paper/940291/en

    IEEE: Copy

    HANIEH PANAHI, and FATEMEH JAFARI, “AN EM ALGORITHM FOR ESTIMATING THE PARAMETERS OF THE NORMAL INVERSE GAUSSIAN DISTRIBUTION WITH APPLICATION IN FINANCE,” presented at the SEMINAR OF MATHEMATICS AND HUMANITIES, FINANCIAL MATHEMATICS. 2016, [Online]. Available: https://sid.ir/paper/940291/en

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