S tock returns of companies listed on the stock exchange is one of the most important criteria in assessing the macroeconomic. This study investigates the effect of exchange rate Volatility on the stock exchange Returns of D8 countries. It takes monthly data during the period (2008:1-2015:6) constituting 90 observations. At first we used Panel-GARCH model to estimate Exchange Rate Vo...

The present study aims to investigate the effects of macroeconomic variables on stock price crash risk in economically uncertain conditions Iran’s market. This also seeks examine whether there is a significant relationship between some firm characteristics and falling prices. sample includes 152 Iranian companies listed Tehran Stock Exchange (TSE) 2014 2019. Furthermore, research model has been...

since the 1970s, services marketing has grown into a major sub discipline of marketing. it is constantly claimed – but is refuted in the article – that services are now the dominant economic activity in developed countries and keeps growing while the two traditional goods sectors, manufacturing and agriculture, are declining. in today's competitive world, having expertise, knowledge and ma...

Multi Criteria Decision Making (MCDM) is an advanced field of Operation Research; recently MCDM methods are efficient and common tools for performance evaluation in many areas such as finance and economy. The aim of this study is to show one of applications of mathematics in real word. This study with considering value based measures and accounting based measures simultaneously, provided a hybr...

Portfolio selection is a resource allocation problem in a finance market. The investor’s asset optimization requires the distribution of a set of capital (resources) among a set of entities (assets) with the trade-off between risk and return. The ANN with nonlinear capability is proven to solve a large-scale complex problem effectively. It is suitable to solve NP-hard resource allocation proble...

Financing decisions is one of the important areas in financial management to increase shareholder’s wealth. To determine how managers achieve this object, it can say performance measurement of company. In this paper we have studied the issue of whether the capital-structure decision impacts firms’ performance. For this reason, we used 3 definition of capital structure in scope of book value to ...

Classical statistical models can solve the problem of portfolio optimization and can determine the efficient frontier of investment when there are few investable assets and constraints. But these models cannot easily solve optimization problems when we consider real-world constraints. Therefore, data mining techniques such as evolutionary algorithms are important in portfolio optimization. The ...

The investor's asset allocation choice deeply depends on the trade-off between risk and return. The well-known mean variance method requires predetermined risk and expected return to calculate optimal investment weights of portfolio. The artificial neural network (ANN) with nonlinear capability is proven to solve large-scale complex problem effectively. However, the traditional ANN model cannot...

abstract the current study aims to investigate the relationship between iran’s targeted subsidies plan and the stock returns of listed companies on the tehran stock exchange (tse). stock returns is obtained from the indices of three industries: pharmaceuticals, chemicals, and machinery and equipment. moreover, the present research uses gold price and dollar price as control variables. the targe...

In this research, a novel approach is developed to predict stocks return and risks. In this three stage method, through a comprehensive investigation all possible features which can be effective on stocks risk and return are identified. Then, in the next stage risk and return are predicted by applying data mining techniques for the given features. Finally, we develop a hybrid algorithm, on the ...