The purpose of this study is to investigate the impacts calendar anomalies specifically on day week effect (DOW) 10 Islamic stock markets’ returns such as Dow Jones Market (DJIM), Saudi Arabia, Malaysia, United Arab Emirates (UAE), Kuwait, Qatar, Turkey, Indonesia, Bahrain, Pakistan—for 20 years from 25 September 2000 24 2020. methods using Generalized AutoRegressive Conditional Heteroskedastic...

هديكچ فده و هقباس : راتسرپ هفرح ي م رد سرتسارپ لغاشم ردص رد ي ب لغاشم نا تشاده ي نامرد و ي لـماوع و دراد رارـق سرتسا از ي لغش ي ددعتم ي ناور تملاس ي لغاش ي ا ن ي م رارق رطخ ضرعم رد ار هفرح ن ي دهد . فدـه اـب رـضاح شهوژپ سررب ي ت أ ث ي نت لماوع ر ي گد ي ناور تملاس رب از ي نانمس رهش ناراتسرپ دش ارجا . شور و داوم اه : رامآ هعماج ي زا دوب ترابع لك ي ر ناراتسرپ ه مس ي ب ي ناتسرام اه ي رهش هك ...

The aim of this work is the study crude oil price volatility, particularly during Covid-19 pandemic, which changed world scene and inflicted serious crises not only in global health system, but also international financial markets economy. This economic situation has many policy makers, financiers portfolio managers worried about avoiding risk potential damage. Hedging strategies are based on c...

The exchange rate risk caused by the two-way fluctuation of RMB will bring many effects. volatility foreign market is most common feature financial market. Therefore, research on great significance in economic and aspects. Through statistical analysis data, an ARMA model was established to eliminate auto-correlation sequence, GARCH family combined fit data. Comparing different distribution hypo...

Recent studies have suggested that stock markets' volatility has a type of long-range dependence that is not appropriately described by the usual Generalized Autoregressive Conditional Heteroskedastic (GARCH) and Exponential GARCH (EGARCH) models. In this paper, diierent models for describing this long-range dependence are examined and the properties of a Long-Memory Stochastic Volatility (LMSV...

This paper evaluates the out-of-sample forecasting accuracy of eleven models for monthly volatility in fifteen stock markets. Volatility is defined as within-month standard deviation of continuously compounded daily returns on the stock market index of each country for the ten-year period 1988 to 1997. The first half of the sample is retained for the estimation of parameters while the second ha...

هدیکچ هقباس و فده : ناطرس زا بسانم تاعلاطا اب یم صاخ یئایفارغج هیحان رد فلتخم یاه همانرب ناوت ار یبط یاه یارب لابرغ و نامرد یرگ ) Screening ( هورگ دومن صخشم رطخرپ یاه . نآ زا هک اج گرم نازیم نانمس ناتسا تشادهب زکرم لااب ریم و ی زکرم رد یناقوف شراوگ هاگتسد ناطرس رثا رب ار ی ا هدرک شرازگ ناریا تس . یماـمت تـبث و یـسررب یارـب تفریذپ ماجنا یعماج قیقحت نانمس ناتسا یموب تیعمج نیب رد ناطرس دراوم ...

كچ ي هد :فده و هقباس و ينميا رب رچسوپ لرتنك رد للاتخا تيلاعف ماگنه رد تاكرح تيفيك اه ي و هرمزور ريرايا ييشزرو يم رب رروم لماوع زا يكي .دراذگ رچسوپ لرتنك فاطعنا يم تلاضع يريذپ يلع .دشاب اتتيسن عويش مغر يهاياوك داييز ه رد ،گنيرتسمه هلضع ي چ هعلاطم طاتارا يا ن يسررب لداعا اب هلضع نيا يهااوك هديش هيعلاطم نييا زا فديه .تيسا و كيااتسا لداعا اب گنيرتسمه هلضع يهااوك طاتارا يسررب يم ملاس...

This paper attempts to compare the forecasting performance of the ARIMA model and hybrid ARMA-GARCH Models by using daily data of the Iran’s exchange rate against the U.S. Dollar (IRR/USD) for the period of 20 March 2014 to 20 June 2015. The period of 20 March 2014 to 19 April 2015 was used to build the model while remaining data were used to do out of sample forecasting and check the forecasti...