FINANCIAL KNOWLEDGE OF SECURITY ANALYSIS (FINANCIAL STUDIES)
Year:2018 | Volume:11 | Issue:38 |Papers Count:11

The impact of different risks is of great importance in banking industry on financial sustainability, given its functional entity. Given the lack of consensus on the relationship between financial risks in banks, in particular, in credit risk and liquidity in banks, this research investigates the relationship of these two types of risks and their impacts on financial sustainability in banking industry in Iran during 2005-2014 with panel data method. In this regard, in order to investigate the impact of liquidity and credit risks on financial sustainability, Quintile regression method. The results indicate the negative and significant impact of these two types of risks on financial sustainability in most reviewed decimals. This means that with an increase in financial sustainability, the impact of these two types of risks is reduced. In other words, those banks placed in the higher decimals of sustainability distribution are affected less by credit and liquidity risks.

In an efficient market, prices should reflect all information available to investors. In reality, several frictions can prevent prices from incorporating the information immediately after disclosure. This can cause delays in the incorporation of information into prices and increase the premium investors require for investing in stocks. Using an empirical measure of price delays, we examine the effect of these frictions and the resulting price delays on the cross-section of expected returns on Tehran Stock Exchange. The delay measure is defined as a function of contemporaneous and lagged systematic information that is impounded into prices. If frictions prevent information from impacting prices contemporaneously, lagged information should have explanatory power for stock returns. We find that stocks with higher price delays tend to have a premium that is not explained by known risk factors of market risk, size, value, momentum and liquidity. Our results are robust to a number of empirical specifications, namely the zero-investment portfolio returns and Fama-Macbeth regressions.

One of the most important challenges in the stock market for investors is selecting Portfolio. This study by considering the financial ratios as evaluating indicators tries to determine appropriate model for investment decisions in stocks. In this study, the combination of respectively models, linear regression, multi attribute decision making and linear programming were used to forecast the future of financial ratio trends, ranking companies and asset allocation. In the first step of study, after selecting 17 financial ratios and indicators as variables of the hybrid model, their values from the first quarter of 2007 to the first quarter of 2015 was calculated for companies included in the sample. Then by using the moving average with exogenous inputs and Auto Regressive Moving Average with exogenous input, these variables were predicted for the studied period (second quarter 2015). In the next step, we used Shannon entropy to determine the weight of indexes and the grey relational analysis for ranking companies. Finally, by using a linear programming model, a model was developed to select the optimal portfolio. According to this model, a portfolio of stocks formed and by using the Sharp ratio, its performance was compared with the overall index and the top 50 index. The results showed that the hybrid model has had a better performance than the overall index and the top 50 index, in the period of the study.

This paper is to study the relationship between momentum effect (continuation of prior returns) and financial distress risk using data from companies listed on Tehran stock exchange during 31/01/1387-31/04/1393. In this research, financial distress risk was calculated by the second version of Altman Z-Score model. To describe momentum effect, by determining the formation period to be 6 months, and the holding period to be 3, 6, or 12 months, we firstly examined the profitability of short term (3.6), midterm (6.6), and long term (12.6) momentum strategies and found that during abovementioned time period, only midterm momentum strategy was profitable. Then, we showed that momentum anomaly was driven by market under-reaction to financial distress risk. In other words, it can be said that momentum is proxying for distress risk, and is largely subsumed by distress risk factor.

Financial markets especially capital market can make strong connections with other parts of the economy. After 2007-2008 financial crisis and global extensive economic recession, the economists show interest in the financial markets function again. The purpose of this study is to design and calibrate a Dynamic Stochastic General Equilibrium new Keynesian model with Stock market dynamism to investigate the stock market channal effectiveness mechanism on macroeconomics variables. So an open DSGE model containing households, firms, banks, government and central bank was designed and after log-linearization, then the model’s parameters were calibrated using quarterly data 1996: 3-2013: 2 and experimental studies results. This study shows that a negative shock to stock price index in the DSGE model via financial accelerator and bank capital channel will result in decrease production, consumption, investment, deposits and inflation and therefor the macroeconomic variables such as consumption, investment and production have stronger relationship with stock market dynamism.

In this paper, Genetic and weed algorithms are used to solve constrained mean-semi variance portfolio problem. Then AR model and simple average are compared to predict expected return of stocks.23 active stocks from June 22, 2014 to June 21, 2016 are used as our sample. The results indicate that, weed algorithm despite its longer time consuming has better performance than Genetic algorithm. And AR (2) model has more accurate prediction than simple average in predicting expected rate of return. Finally, we compare expected and real efficient frontier, the results indicate that, in lower risk, AR model has better prediction accuracy. So in that area, we can allocate our asset with higher certainty.

The main objective of this study was to examine the impact of Inflation Regime on the Pass-Through to stock price in Iran, Using time series data monthly from the march 2009 to feb 2016. Then, we used the Markov-Switching model for extraction of high and low inflationary environments and Then we tested the impact of inflationary environments with the influence of liquidity, oil prices and nominal exchange rate impact on stock price index by using co integration Johansen- Juselius method, Results showed that the inflationary environments have the asymmetric impact on the degree of exchange rate crossing over the stock price, so in an environment with high inflation, the Exchange Rate Pass-Through was 89%, and in an environment with low inflation, the exchange rate crossing was 57% Also the results indicated that liquidity and oil prices have significant and positive impact on the stock price index and nominal effective exchange rate has a significant and negative impact on the stock price index. Due to Intensify the degree of crossing the exchange rate of inflation environments and its negative impact on the stock price, especially in high inflationary conditions, it’s not appropriate policy for development and contributes to capital markets.

The aim of this study is to investigate the test of stock price synchronicity on risk of stock price reduction in companies listed on the Tehran Stock Exchange. In this study, financial information of 109 companies has been investigated during the period from 2010 to 2015 (654 companies-years). The compound multivariate regression has been used to test the research hypotheses. In general, the results show that the synchronicity of stock prices is an effective factor on risk of stock price reduction.Other findings of the research indicated the positive and significant effect of negative coefficient of stock return skewness and profitability index on risk of stock price reduction as well as, inverse (negative) relationship of the ratio of institutional investors’ investment and company size on the risk of stock price reduction and also, meaninglessness of relationship of growth opportunities and financial leverage with the variable of stock price reduction risk.

Options pricing is one of the most prominent issues in financial mathematics. Black-Scholes model is a popular model continuous time price distribution of powers in which the logarithm of the normal asset returns and volatility is constant. In line with the realities of the markets closer to mathematical models, new processes based on known processes were introduced Levy. The simplest model with jump Markov processes, Levy processes that are the perfect alternative for this purpose are. This process has infinite divisible distributions that are capable of skewness and kurtosis is extra and is used in pricing options orders. In the study, of the sort of description stock return correlation comparison of Tehran Stock Exchange during the period from 2007 to 2015 basis and by simulating the price of them using the process of Levy, the performance of this series of random processes in the portfolio and compared to traditional model Black-Scholes reviewed. The findings of this study show the process of Levy method Black-Scholes efficiency and more power to transactions in pricing.

Government intervention and existence of politicians on boards may affect companies’ decision making and business trajectory. This study is aimed to investigate of the relationship between political connections, and dividend and stock return in listed firms on Tehran Stock Exchange. This research in terms of purpose is functional and in terms of method is descriptive - correlation. The sample consists of 114 companies listed on Tehran Stock Exchange for the period 2009 to 2016. Correlation and multiple linear regression analysis for hypothesis test are used.The findings show a significant positive association between political connections and dividend. In other words, by increasing political connections on firms, their dividend is increased. In addition, there is a significant positive relationship between political connections and stock return. In other words, by increasing political connections on firms, stock return is increased. These results suggest that political connectedness could represent an important determinant of dividend and stock returns.

The purpose of this research is to study the role of financial literacy and money management on personal financial management of Tehran Stock Exchange investors. This research, in terms of type, is a descriptive survey and is a quantitative and applied research that has been implemented cross-sectionally. The statistical population of this study was investors in the Tehran Stock Exchange. The Morgan table used 384 people as sample by simple random sampling method. The data gathering tool was a standard questionnaire for financial literacy, money management and personal finance management. Validity of the questionnaires was assessed through factor validity and their reliability through Cronbach's alpha. Data were analyzed using partial least squares and Smart Pialas software. The findings of this study confirm the significant effect of financial literacy and money management and their components on personal financial management of Tehran Stock Exchange investors. The evidence did not show any indirect effect.