جستجوی مقالات مرتبط با کلیدواژه "ارزش گذاری" در نشریات گروه "مالی"

The main purpose of this study is to evaluate the value of soccer players in clubs of the Pro League of Iran and to evaluate the effectiveness of the factors related to the players valuation. This study is an applied-survey type which was done to determine, categorize and identify variables affecting the value of players from the opinions of sports experts through the distribution of 27 questionnaires and using the Delphi method. SPSS and SmartPLS software was used to provide the valuation model, and 209 players from 14 clubs was examined. Findings indicated that from the point of view of sports experts, 33 variables out of 52 variables in 4 categories (club characteristics, player's technical performance, player's technical ability and physical and moral characteristics) affect the value of players. Also, the results of model analysis through step-by-step regression showed that only being top(the best) players, value players, metrica score, player age, player honors, number of yellow cards and touching the ball affect the value of players.

The purpose of this paper is to determine the effective factors influencing the value of FinTech start-ups from the perspective of venture capitalists in the field of financial technology in the early stage of their life cycle.

This research is qualitative that uses the Grounded theory method. In this study, by interviewing 19 venture capitalists active in the field of financial technology, 46 final codes were extracted via open coding. In the next step, through axial coding, a paradigm model was presented for the main value of the start-up FinTech company.

This study showed that the value of FinTech start-ups is majorly influenced by the intervening factors related to their main buyers, i.e. banks and financial institutions because the benefits of buying fintech companies are strategic for banks and financial institutions and can create a competitive advantage for them compared to other banks and financial institutions. In addition, it was found that underlying conditions such as investor exit routes, the need for reinvestment, and the consequences of their merger and acquisition also affect the value of FinTech start-ups.

The value of FinTech start-ups is more affected by the intervention of their buyers than other technology start-ups, because the benefits of buying FinTech companies are strategic for banks and financial institutions, and it can give them a competitive advantage over other banks.

The purpose of this study was to design an efficient human resources evaluation model using qualitative methods in Islamic Azad University units of Hormozgan province.

In this study, qualitative field theory theoretic approach is used in the systematic approach. Also, due to the exploratory nature of the research, the researcher has used the grounded theory method. The statistical population of this research consists of the head and deputy of faculties, experts and staff (including education, research, finance, etc.) of Hormozgan Branch.

The results of the testing of research hypotheses show that Hormozgan University has focused more on functional areas and has gained more from these components. Based on the results, most people have earned an average score, indicating that individuals are one-dimensional and not all individuals have all dimensions.

The findings of the study show that the components of human resources evaluation in Islamic Azad University of Hormozgan are: skills, creativity, innovation, adaptability and teamwork capabilities (in capability index, Participation, information and work conscience (in performance index (age, health, talent and experience (in potential)), achievement, optimism, honesty, kindness and sacrifice) in attitude index) Performance is more important than capability, potential and attitude. Among the dimensions of performance horn, conscientiousness, in the index of ability, skill, attitude index, achievement, and in the index of potentiality, talent are prioritized.

the growth and development of financial markets and instruments, the complexity of financial markets and the specialization of investment, investors and financial market professionals need tools, methods and models that help them choose the best investment and the most appropriate portfolios. This has led to a variety of theories, models, and methods for pricing asset holdings and the calculation of stock market outlook predictions, which are developing and changing every day. The aim of this research a scheme of CAPM models considering momentum premium. For this purpose, the researcher uses factor analysis method and structural equation method in order to more accurately analyze the data and measure the variables of the model. The results of 90 companies during the period from 2006 to 2016 in the Tehran Stock Exchange show that adding a factor to the momentum increases the explanatory power of the new model of capital asset valuation. Also, the return on a portfolio consisting of a losing company is less than the return on a portfolio of winning shares

Investor's objective of investing in stocks is gaining profit and reasonable return .Using behavioral model of stock image and traditional models (free cash flow of equity, discounted dividends and residual income), this research tries to present a framework for estimating stock values of companies and assess the performance of each of them in stock valuation of companies. In this regard, 95 manufacturing and industrial companies listed on the Tehran Stock Exchange were selected. The study period was from 2009 to 2013. The models performance was compared based on explanatory power and accuracy using panel data technique and prediction errors respectively. The results of research show that the behavioral model of stock image is higher explanatory power and accuracy compared to traditional models in estimating of stock values. The behavioral model can explain the role of behavioral factors in stock pricing and helpful for stockholders in the active portfolio management.

The aim of this study is to test the valuation method in which in addition to the fundamental features of the stock, pay attention to investor sentiment and its impact on stock pricing. in this regard ,Fundamental information and stock prices of 95 manufacturing and industrial companies listed in the Tehran Stock Exchange during the years 2009 to 2013 are collected and valued using the behavioral model stock image and traditional models (residual income, discount dividend and free cash flow) .This research using panel data and regression equations developed for each model, has compared the performance of models based on Akaike(ACI) index. The results of the proposed model compared to traditional models implies less uncertainty of this model .The proposed behavioral model can explain the role of behavioral factors in stock pricing and helpful for stockholders in the active portfolio management because they can buy or sell their securities based on this model

In this research, a new model for valuation of financial contracts is designed by using guaranteed and participation rates. In the traditional methods, valuation of these contracts is determined with the use of minimum guaranteed rate of returns such as risk free rate. However, the proposed model is based on the valuation of these contracts by guaranteed and participation rates as well as the customer's risk tolerance and investment risk. In this model, first an asset allocation model is considered in order to model market elements such as certificate of deposit, bonds and stocks. Then, conditional value at risk, as a proper risk measure, is used to determine guaranteed and participation rates and fair valuation of the contracts. To improve the validity, the model is run for both the capital markets of Iran and the United States of America. The variables used in this study are interest rate of banks, bonds and stock index from 1998 to 2012 in Iran and from 1980 to 2012 in America.

Treasury Bills are contained the proof of face value payment of bonds in the future by the publisher (typically by governments). Issuing conventional Treasury bills, due to usury based nature of Treasury bills, in Islamic financial systems is not possible. So Islamic financial experts have designed the Islamic Treasury bills.
Islamic Treasury bills are registered or bearer securities that of the Treasury of the Ministry of Economic Affairs and Finance, with a certain maturity and without interest coupons issue and can be used for Settlement of public sector debts to the Central Bank, the banking network and contractors. This model is examined in terms of jurisprudence and law and it is applicable but appropriate discount rate and in fact Treasury valuation model has not been studied yet.
This article will explain the appropriate model to determine the discount rate for these securities. It seems to be the best assess to discount rates or pricing Islamic T-bill’s is the mean return of the market that these instruments have been issued for them. This means for the purchasing goods Islamic T-bills, the average estimated return on the market that the required goods are purchased from it. In purchasing services Islamic T-bill’s, the average rate of return of the operation of the project. And in funding Islamic T-bill’s, the average rate of returns gold trades in the horizon of securities is the best criteria to determinate the rates.

In modern financial theories, factors that should be considered for portfolio optimization problem are very important. In this study, first residual income model is used for valuation of companies. Then valuated companies are discriminated and two groups are created. The companies that their value is more than their market price are placed in first group and other companies are placed in second group. A portfolio optimization model is written for each group and two efficient frontiers are obtained. A hypothesis test is defined for comparison of efficient frontiers in different risk levels. To implement this methodology 92 companies that were accepted in Tehran Stock Exchange are selected in a random sampling. Results show the companies that their value is less than their market price are not necessarily inefficient. On the other hand, results show the residual income model can be a measurement for portfolio selection process if the risk level is determined.