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Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
Author(s): 

EIVAZLU REZA | Rameshg Mehdi

Issue Info: 
  • Year: 

    2020
  • Volume: 

    4
  • Issue: 

    4 (27)
  • Pages: 

    1-16
Measures: 
  • Citations: 

    0
  • Views: 

    954
  • Downloads: 

    0
Abstract: 

Systematic risk (in economics often called aggregate risk or undiversifiable risk) is vulnerability to events which affect aggregate outcomes such as broad market returns, total economy-wide resource holdings, or aggregate income. In many contexts, events like earthquakes and major weather catastrophes pose aggregate risks they affect not only the distribution but also the total amount of resources. In this paper we study systemic risks in the Iranian banking sector by using two famous systemic risk measures theMES (marginal expected shortfall) and CoVaR. To compute both measures we employ Engle's dynamic conditional correlation model. Our empirical analysis shows, first, that although these two systemic risk measures differ in defining the contributions to systemic risk, both are qualitatively very similar in explaining the cross-sectional differences in systemic risk contributions across banks. Last, using a threshold VAR model, we suggest an overall systemic risk measure – the aggregateMES – and its associated threshold value for use as an early warning indicator. The paper is innovative in terms of the use of statistical models (dynamic conditional correlation model) and available data Looking for the rating of commercial banks using by approaches MES and COVAR.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Issue Info: 
  • Year: 

    2020
  • Volume: 

    4
  • Issue: 

    4 (27)
  • Pages: 

    17-30
Measures: 
  • Citations: 

    0
  • Views: 

    1093
  • Downloads: 

    0
Abstract: 

Financial ratios analysis is considered among the most widely used tools for evaluating the performance of companies and investments. In this regard, ROA and ROE ratios are among the most important criterias. This study seeks evidence about the role of market capitalization in the relationship between return on assets and return on equity with Stock prices and is compared with their book value. This study was conducted on 136 companies listed on the Tehran Stock Exchange between 2008-2016. In order to test hypotheses, we used of 8 multivariate regression. The results indicate that both of ratios with book value and market value have a significant and positive relationship with stock prices; But the strength of this relationship is not the same, market value has more strongest relation than book value, return on assets can explain the stock price changes alone and about 66% and Combined return on assets to book value and return on equity to market value have strongest correlation with the stock price changes.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Issue Info: 
  • Year: 

    2020
  • Volume: 

    4
  • Issue: 

    4 (27)
  • Pages: 

    31-48
Measures: 
  • Citations: 

    0
  • Views: 

    479
  • Downloads: 

    0
Abstract: 

This study examines whether sophisticated investors implement traditional accruals strategy and percent accruals strategy. Moreover we compare the amount of excess return and risk adjusted return of accruals strategy sophisticated investors and of those who are neutral to accruals strategy. For this purpose, we collect quarterly data of 950 observation of investment companies listed in Tehran Stock Exchange for the years 2011-2018. The hypotheses were tested using one sample t test. The results show that sophisticated investors do not implement accruals strategy. But implementation of accruals strategy by a subsample of sophisticated investors was verified. The results show traditional accruals strategy sophisticated investors do not earn excess return and risk adjusted return in compare with those who are neutral to traditional accruals strategy regardless of return measures. But there is some evidence that percent accruals strategy sophisticated investors earn excess return and risk adjusted return in compare with those who are neutral to percent accruals strategy.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View 479

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Issue Info: 
  • Year: 

    2020
  • Volume: 

    4
  • Issue: 

    4 (27)
  • Pages: 

    49-62
Measures: 
  • Citations: 

    0
  • Views: 

    658
  • Downloads: 

    0
Abstract: 

Objectives: The main purpose of this research is to study the effect of trade volumes, Open positions and Time to maturity on future trading returns of Gold Coin in Iran Mercantile Exchange. In this research, contract volumes, open positions and time to maturity are the independent variables and the return of contracts is the dependent variable. Method: Considering the subject, statistical population includes 15 samples of future contracts on Gold coin in Iran Mercantile Exchange. The research data has been gathered among the listed future contracts on with maturity data of 2013 and 2014. The linear Regression with fixed effects has been used to test the assumptions. Results: The results have revealed that there is a leaner relationship between the effects of time-to-maturity and the returns of future contracts, and there is no significant linear relationship between the volume and number of Open positions and the return of future contracts.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Issue Info: 
  • Year: 

    2020
  • Volume: 

    4
  • Issue: 

    4 (27)
  • Pages: 

    63-80
Measures: 
  • Citations: 

    0
  • Views: 

    554
  • Downloads: 

    0
Abstract: 

Objectives: Agency problems arise as a result of the conflict of interests between managers and shareholders. Auditing is considered as an effective way to limit the power of managers in contractual relationships. The basis of this paper is examining the role of funding constraints in changing the interactive effect between managers’ over-confidence and auditing fees. Method: The data of the companies, listed in the Tehran Stock Exchange for the period 2006 to 2016, have been extracted and the combined data regression model has been used to test the research hypotheses. Results: The results indicate that excessive self-confidence and financial constraints lead to changes in audit fees. Also, the results indicate that financing constraints have a significant effect on the joint interaction of management`s over-confidence and the audit fees.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View 554

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Issue Info: 
  • Year: 

    2020
  • Volume: 

    4
  • Issue: 

    4 (27)
  • Pages: 

    81-96
Measures: 
  • Citations: 

    0
  • Views: 

    803
  • Downloads: 

    0
Abstract: 

چکیده [English] Objectives: This research evaluates the effects of overconfidence, disposition effect and investors’ attention on the abnormal volume and abnormal returns of stocks through Interruption in independent variables. Method: It uses the unbalanced panel data regression technique to study a sample of 325 listed firms in Tehran Stock Exchange at weekly intervals between 2011 and 2016. Resutls: The results show that disposition effect and investors’ attention cause abnormal volume. In addition, with regards to abnormal return, the effect of investors' attention on abnormal return is significant in the regression model. The important point in this study is the investigation of the effect of behavioral biases on abnormal volume while generating abnormal returns. The results indicate that only investors’ attention causes both abnormal volume and abnormal returns. Also, in the case of overconfidence, the relationship between this bias and abnormal volume and abnormal returns is not significant.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Issue Info: 
  • Year: 

    2020
  • Volume: 

    4
  • Issue: 

    4 (27)
  • Pages: 

    97-116
Measures: 
  • Citations: 

    0
  • Views: 

    670
  • Downloads: 

    0
Abstract: 

Objectives: Since the 1990s, the determination of the fair value of financial assets and whether this value depends only on fundamental factors in pricing models or is influenced by behavioral and psychological factors has always been a debatable issue. The behavioral finance field focuses on issues and proposes asset pricing models that incorporate behavioral decision-making aspects. The purpose of this study is to investigate the simultaneous effect of the criteria of the sentiment and individual investors trading behavior on the pricing of capital assets in 77 listed firms in Tehran Stock Exchange during the period from 2009 to 2014, using combination data method. Method: For this purpose, a revised Fama and French five-factor model is created by adding sentiment and individual investors trading behavior. Results: The experimental results showed that these two factors have a significant effect on the return on the five-factor model. In a situation where all investors are not rational, decision-makers can use the investor's psychological aspects to understand how asset pricing works.

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View 670

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