It is common wisdom that the 9/11 terrorist attacks boosted political and financial uncertainty and resulted in severe stock market meltdowns in the months after the attacks. Taking a sectoral focus of the market for US common stock, we apply statistical extreme value analysis (EVT) to assess whether downside risk measures like Value-at-Risk (VaR) and extremal sector linkages were significantly...

genetic variations within the species of agropyron desertorum and 2 varieties of a. cristatum subsp. pectinatum var. imbricatum and a. cristatum subsp. pectinatum var. pectinatum were studied using morphological traits and total protein profiles (with sodium dodecylsulphate polyacrylamide gel electrophoresis). an experiment was conducted in research institute of forests and rangelands (2012-201...

non-linear time series models have become fashionable tools to describe and forecast stock market returns in recent years. a significant amount of evidence supports a negative relationship between volume and future returns. this suggests that volume could act as a suitable threshold variable in lstar and tar models. in this research, we compared the forecasting ability of lsatr and tar models w...

For decades, humans have been consuming large quantities of oil, coal and natural gas. Consequently, people must now take responsibility for having participated in productive activities that have caused the emissions of greenhouse gas (GHG) which has damaged the environment and caused problems associated with abnormal weather. Previous studies investigated the relationships between energy and c...

this study predicts corporate bankruptcy five years before its occurrence using financial ratios introduced in altman’s z-score model and current ratio. three estimation methods namely; liner probability, logit and probit models have chosen for model estimation. the sample contains 134 companies in tehran stock exchange during 2003. the precision of prediction of the estimated models for the ma...

The purpose of this study was to investigate the relationship between stock futures fall risk with non-transparent financial reporting at three levels of size, efficiency and return on equity, in the period 2010 to 2014 was in Tehran Stock Exchange. The population of the study are all companies listed in Tehran Stock Exchange. Data collected and calculated by using Excel software Eviews 7 been ...

This paper compares the forecasting performance of the conditional autoregressive range (CARR) model with the commonly adopted GARCH model. We examine two major stock indices, FTSE 100 and Nikkei 225, by using the daily range data and the daily close price data over the period 1990 to 2000. Our results suggest that improvements of the overall estimation are achieved when the CARR models are use...

Modeling and analysis of future prices has been hot topic for economic analysts in recent years. Traditionally, the complex movements in the prices are usually taken as random or stochastic process. However, they may be produced by a deterministic nonlinear process. Accuracy and efficiency of economic models in the short period forecasting is strategic and crucial for business world. Nonlinear ...

The main motivation for this paper is to introduce a novel hybrid method for the prediction of the directional movement of financial assets with an application to the ASE20 Greek stock index. Specifically, we use an alternative computational methodology named Evolutionary Support Vector Machine (ESVM) Stock Predictor for modeling and trading the ASE20 Greek stock index extending the universe of...