• Home
  • تحلیل بنیادی
    • List of Articles تحلیل بنیادی

      • Open Access Article

        1 - تحلیل بنیادی سهام با رویکرد کارایی در مرزهای واقعی و تعیین اهمیت  شاخصها برای رسیدن به شرایط مطلوب
        سیده عاطفه حسینی اسماعیل شاه طهماسبی منیره ابویی مهریزی رامین وران
      • Open Access Article

        2 - Fundamental Information in Technical Trading Strategies through a Combination of Operating cash flow with Contrarian and Momentum
        Aminallah Makkipour Mohsen Dastgir
        Technical trading strategies assume that past price trends predict future ones. Their application may be profitable if the past trend reflects fundamental information that has not yet been fully priced. However, if the trend merely reflects temporary pricing pressures, More
        Technical trading strategies assume that past price trends predict future ones. Their application may be profitable if the past trend reflects fundamental information that has not yet been fully priced. However, if the trend merely reflects temporary pricing pressures, technical trading will presumably fail. We argue that using financial statements as an additional source of information helps to avoid such failure. We implement a trading strategy that uses operating cash flows to identify enduring past price upturns and composite with momentum and contrarian strategy. In this study, using panel data, the impact of technical and fundamental strategies independently and in combination on stock returns 90 companies listed in the Tehran Stock Exchange, in the period 1387 to 1392 were studied. For this purpose, the stock return as dependent variable and momentum, reverse and operating cash flow are considered as independent variables. The results show that due to the timing and strategies have been used to form portfolios, hybrid strategy is best returns. Manuscript profile
      • Open Access Article

        3 - Assess the profitability of fundamental analysis with present a model for the construction of the fundamental power variable using factor analysis
        Saeed Fathi Ali safari Mahbobeh Jafari mazaheri kalahrodi
        The investors should select which stocks to invest that maximize their wealth in the future. The present study attempts to analyze the relationship between fundamental power of stock and real return through developing an overall variable through combination of different More
        The investors should select which stocks to invest that maximize their wealth in the future. The present study attempts to analyze the relationship between fundamental power of stock and real return through developing an overall variable through combination of different fundamental models. This study was conducted for predicting the best intrinsic value for investors. To do this, a sample of 35 companies which listed in Tehran Stock Exchange in chemical, petroleum, and steel industries were survey foreseen financial statemen in 2012. This study, was use for produce fundamental power from factor analysis and for valuation producted fundamental power profitability from Correlation Coefficient. The findings revealed that profitability of fundamental power is resulted from P/E ration and economic value added (EAV) model which has a positive relationship with weekly and monthly return. In addition, The findings also revealed that the use of fundamental power is resulted from Gordon Growth Model (GM) and Free Cash Flow to Equity (FCFE) has not considerable profitability for weekly and monthly investment. Manuscript profile
      • Open Access Article

        4 - Investigating Efficiency Stock Ranking Based on CANSLIM Analysis Criteria Using Fuzzy Multiple Attribute Decision Model
        Ahmad Goodarzi Pouya Goorani
        AbstractInvestors mostly rely on fundamental and technical analysis in applying past and present information to choose the optimum stock and its future trend in an attempt to increase returns. The present study investigates the relationship factors ranking of CANSLIM mo More
        AbstractInvestors mostly rely on fundamental and technical analysis in applying past and present information to choose the optimum stock and its future trend in an attempt to increase returns. The present study investigates the relationship factors ranking of CANSLIM model in synthetic fundamental-technical model by Fuzzy Multiple Attribute Decision method with stock return using econometric models. The variables of the CANSLIM model include the percentage of seasonal earnings, the percent of change in annual profit, the new price, level Free Float Stock, the leading, the support of institutional investors, and the direction of the market (changes in the total index). The study also weighs stock by the Fuzzy-AHP using CANSLIM criteria, and measures its efficiency using TOPSIS technique is ranked annually. Population of the study includes 73 companies listed at stock exchange during 2010-2017 Multi-variable regression analysis based on synthetic and panel data was used. Results of testing hypotheses revealed direct effects of rating factors: percent of seasonal earnings change, percentage of annual profit changes, industry leading companies, free float stocks, CANSLIM model on stock returns. Manuscript profile
      • Open Access Article

        5 - A study on how managers of mutual funds invest in Iran (With an approach based on technical & fundamental analysis and Modern Portfolio Theory)
        Mohammadreza Nikbakht Yasser Kargari Mahtab Davarzadeh
        This study (for the first time) examined the way investment managers of mutual funds invest, by using questionnaire method. Respondents to the questionnaire are investment managers of mutual funds in Iran. The investment managers are asked to determine the use of each o More
        This study (for the first time) examined the way investment managers of mutual funds invest, by using questionnaire method. Respondents to the questionnaire are investment managers of mutual funds in Iran. The investment managers are asked to determine the use of each of methods such as technical & fundamental analysis, Modern Portfolio Theory, bulletins, confidential information and market rumors, for market forecasting and selecting assets properly and timely. The research statistic population includes investment managers of active mutual funds in Iran. Questionnaires were sent to all of them, and 40 percent of the questionnaires were returned. The findings of this study show that investment managers always pay most of their attention to fundamental analyses and then published bulletins; they rarely use technical analysis indicators (especially in the long term) and Modern Portfolio Theory (especially in the short term). Also investment managers are reluctant to use confidential information and market rumors in any time intervals. Manuscript profile
      • Open Access Article

        6 - Survey of the effects fundamental variables on stock price
        Farhad Hanifi Mirfeyz Fallah Shams Leyla Abolfazli
        Forecasting stock price and adopting proper strategy for stocks dealing are subject to many research works. Fundamental analysis is one of the interesting points in this regard. The present work surveys to what extent the fundamental variables represents the stock statu More
        Forecasting stock price and adopting proper strategy for stocks dealing are subject to many research works. Fundamental analysis is one of the interesting points in this regard. The present work surveys to what extent the fundamental variables represents the stock status. The period under study was from 2006 to 2010 and 51 companies in the stock market were under consideration. The data were studied on the weekly and monthly bases. Panel data method was used to study the relation between the variables in the study. Except for stockholder rights turnover, the results showed a positive significant relation between the fundamental variables under consideration including profit per share, predicted profit per share, and book value on one hand and stock price on the other hand. That is, the majority of the variables represent price of stocks for more than 90%. Moreover, the regression model obtained from the annual fundamental variables illustrated higher representation power comparing with seasonal data, which shows merits of longer-term perspective. Manuscript profile
      • Open Access Article

        7 - رتبه بندی و مدیریت سهام در بازار بورس با استفاده از تحلیل بنیادی و تکنیکی (مطالعه موردی: بورس تهران)
        علیرضا علی نژاد ابوالفضل کاظمی کیوان صراف ها
        یکی از دلایل اصلی انجام این پژوهش، عدم اطمینان دست اندرکاران اوراق بهادار در زمینه صحت رتبه بندی سهام بورس بالخص صنعت مالی که یکی از ارکان اصلی بورس می‌باشد است. در این پژوهش سعی شده است تا با استخراج شاخص‌های مورد نیاز جهت رتبه بندی دقیق شرکت‌ها در بازار سرمایه تهران د More
        یکی از دلایل اصلی انجام این پژوهش، عدم اطمینان دست اندرکاران اوراق بهادار در زمینه صحت رتبه بندی سهام بورس بالخص صنعت مالی که یکی از ارکان اصلی بورس می‌باشد است. در این پژوهش سعی شده است تا با استخراج شاخص‌های مورد نیاز جهت رتبه بندی دقیق شرکت‌ها در بازار سرمایه تهران در پروسه خرید سهام کمک نموده و به عنوان راهنمای کلی مدنظر قرار گیرد. از دیگر اهداف اصلی این پژوهش، بکارگیری ترکیبی دو دیدگاه مهم در مسیر یافتن مطلوبترین سهام یعنی تحلیل بنیادی و تحلیل تکنیکی است. لذا در این تحقیق ابتدا پس از تعیین گروه تصمیم گیری(خبرگان بورس) و استخراج شاخص‌های اولیه از ادبیات موضوع، با استفاده از روش‌های آماری ناپارامتریک به تعیین شاخص‌های نهایی پرداخته شده است. سپس با استفاده از تکنیک مقایسات زوجی(بهبود در AHP) جهت تصمیم گیری گروهی به تعیین وزن معیارها با استفاده از تأثیرات متقابل آنها بر یکدیگر اقدام شد. سپس با استفاده از روش PROMETHEE و استخراج اطلاعات مربوط به صنایع مالی خدماتی، ابتدا به رتبه بندی این صنایع و پس از آن به رتبه بندی شرکت­های فعال در صنایع برتر شناخته شده پرداخته شده است. پس از انجام تحلیل بنیادی، با مطالعه ادبیات تحقیق و آنچه که در حال حاضر در شرکت‌های کارگزاری به کار گرفته می‌شود، سه شاخص از مهم ترین و پرکاربردترین شاخص­های تکنیکی را جهت تحلیل تکنیکی شرکت­های برتر شناخته شده انتخاب و در انتها زمان مناسب جهت معامله در بازه زمانی سال 1390 تعیین گردید.  Manuscript profile
      • Open Access Article

        8 - تحلیل بنیادی سهام با استفاده از تحلیل پوششی دو مرحله‌ای
        سیده عاطفه حسینی منیره ابویی مهریزی جواد حلوایی اسماعیل شاه طهماسبی رامین وران
      • Open Access Article

        9 - رویکرد دو مرحله ای ریاضی در بهینه سازی سبد سهام
        سعید خدامرادی محمد ترابی گودرزی محمدابراهیم راعی عزآبادی
      • Open Access Article

        10 - Development of network data envelopment analysis model to evaluate the technical efficiency of the pharmaceutical industry
        Seyede Elham Eftekharian Seyed Farzad Hashemi Ali Nemati Razieh Mehrjoo Mahnaz Ahadzadeh Namin
        The purpose of this article is to evaluate the technical efficiency of listed companies in the pharmaceutical industry in 2021. To achive this, the additive model of two-stage network data envelopment analysis was investigated with semi-positive and negative indicators More
        The purpose of this article is to evaluate the technical efficiency of listed companies in the pharmaceutical industry in 2021. To achive this, the additive model of two-stage network data envelopment analysis was investigated with semi-positive and negative indicators and simultaneously considering the production process(Fundamental Analysis) in the first stage and the financial production process (Technical Analysis) in the second stage. In addition, FAHP applied to determine the weights of the first and second stages. The results showed: the production process is more important in defining the total efficiency of a company in the Stock Exchange. In the first stage, %33 and in the second stage, %25 of the pharmaceutical industry companies achieved full efficiency of one. According to the efficiency one of %13 companies of the studied industry in both first and second stages, the efficiency of the mentioned companies was also full and found to be one; These companies include Toliddaru, Exir Pharmaceutical and Loghman Pharmaceutical & Hygienic Companies. The lowest total efficiency belongs to Sobhan Pharmaceutical Group. In general, 88% companies of the studied industry have an efficiency higher than 0.5. Manuscript profile