Stocks are investment instruments that provide returns but tend to be risky. The most important component of investing is volatility, where volatility identical the standard conditional deviation stock price return. thing in addition return a risk. Value-at-Risk (VaR) statistical method estimating maximum losses. To evaluate quality VaR estimates, models should always back-tested with appropria...

4. Course Outline: (i) Review of Linear ARMA/ARIMA Time Series Models and their Properties. (ii) An Introduction to Spectral Analysis of Time Series. (iii) Fractional Differencing and Long Memory Time Series Modelling. (iv) Generalized Fractional Processes. Gegenbaur Processes. (v) Topics from Financial Time Series/Econometrics: ARCH and GARCH Models. (vi ) Time Series Modelling of Durations: A...

This paper selects the daily return data of CSI 300 index from January 2, 2014 to September 30, 2020 study characteristics volatility. An ARMA(3,3) model was fitted log returns using R software, and ARCH effect found exist. The were then with an ARMA(3,3)-GARCH(1,1) model, fitting tested, finally short-term predicted. results empirical analysis show that series has such as non-normal distributi...

هدف: امروزه کارگروهی در مؤسسات آموزش عالی به‌عنوان یکی از بهترین راهبردها برای تعامل و مشارکت دانشجویان فرایند یادگیری هم‌چنین کمک به رشد مهارت‌های ارتباطی آن‌ها محسوب می‌شود. درحالی‌ که شناسایی مزایای می‌تواند درک مثبتی را بین اساتید ایجاد کند، عواملی باعث عدم شکل‌گیری تمایل اندک انجام نظام دانشگاهی می‌شود، نیز مزایا تأثیرات مثبت آن بکاهد؛ بنابراین، هدف این پژوهش چالش‌های مرتبط با بود.مواد روش...

In this paper, the S&P 500 stock index is studied for its time varying volatility and stylized facts. The ARMA mean equation with asymmetric power ARCH errors is used to model the series correlations and the conditional heteroscadesticity in the asset returns. The conditional distributions of the standardized residuals are assumed to be the normal distribution, the t distribution or the skew-t ...