This study Investigates to confirm either the presence or reject the herding behavior, it also determines the type whether rational or irrational, is an important concern of researchers, particularly for advocates of behavioral economics and finance. This study also examined the model for herding measurement in Investment Company; investigate subordination the herding from sentiment. In this study, two issues have been explored. First, existence of herding, that the model used was confirmed.The next phase is determination of the type of herding, which the following results show that sentiment can confirm that it is irrational. In this study, managers herding in overall Investment Company were studied by two methods. Estimation results show that herding is influenced by investor sentiment. The study uses principle component analysis as the means of extracting the combination sentiment measure.

In order to have a succesful Investment companies, their activities in this very complicated bussines enviroment, require to indentify the facing threats and have definitely deep knowledge of all difficulties beforehand. In this regards looking at strategic risks (potetial forces which can destabilize the system of strategy and have a considerable negative effect on the investigating campany’s value as a result), have a significant importance.The main objective of this research is in fact identifying and ranking the strategic risks of Investment campanies (Ghadir Investment Company).Delphy techniques (experts community), scenario writing and case study are used to elicit and analyze the data.The results of this research, which is done within 6 steps, are identifying the strategic risks of Investment campanies, ranking these risks in Ghadir Investment campany (forward scenarios within 3-5 years) and finaly mapping the strategic risks in each scenario.

Objective: Stakeholders have a great impact on corporate behavior and performance and provide them with necessary resources for Investment. Therefore, using the Structural Equation Modeling approach, this study examines the effect of the stakeholder relationship capability on corporate Investment in innovative activities. Methods: This study employs meta-synthesis analysis, Delphi analysis and a researchmade questionnaire to measure stakeholder relationship capability, and four proxies of individual, technical, environmental and operational innovation to measure corporate innovation. The questionnaire is sent to 151 managers in year 2018. Finally, 102 managers answered the questionnaires. Results: Having ensured the good-fitness of the evaluation and structural models, the results show that the stakeholder relationship capability improves the firm's innovation. Conclusion: Stakeholder relationship capability assist mangers in identifying stakeholders’ innovation needs and consequently, interacting with them to attract new resources and ideas, and as a result, more Investment in innovative activities. These findings suggest the importance of the stakeholder relationship capability in firm's Investment in innovation activities.

Nowadays, strategic planning was very important for every Company, many companies realize the importance of strategic planning. Holding companies have considered this issue. Strategic planning in holding Multibusinessess Company differs from other single companies based on complexities. Holding companies are faced with two important strategic decisions: 1) what areas and how Investments should be done? 2) How management and control the subsidiary businesses. Holding companies in light of strategic decisions, faced with risks that are necessary to consider. This paper uses Multigrounded theory that is combination of grounded theory and Methasynthesis, to identify those risks. We select 50 articles among 400 articles for Methasynthesis and conducted 14 structured interviews for grounded theory. Finally concepts and categories are derived which include managerial, structural, financial, operational, and behavioral risks.

Herd behavior is each similarity in behavior of people because of their relations. Institutional investors are among the main players of capital market and stock market, These investor's activities on the one hand affect directly on indices, and on the other hand on transactions of other players in the stock market. In case the transactions of stockholders are not based on sufficient information and merely based on imitation of other investors, herding behavior would be taken place within them. Herding is one of the most pervasive behaviors in financial markets which are able to explain some volatility in the Stock Exchange. In this study, using Lakonishok (1992) methods, we consider herding behavior amongst the Investment companies of Iran stock market. In this method, monthly data are used for testing herding behavior. The results of this study confirmed the existence of herding behavior among the managers of Investment companies.

One of the tools that can play a major role in the booming the stock market is the insurance Investment companies which are of much importance due to financing the main part of flows of financial resources. According to Fama, an efficient market is one that the new incoming information affects the stock prices quickly. One way to examine the efficiency in weak form is to test for random walk hypothesis. In this paper, the efficiency of the insurance Industry Investment Company was examined with the Richardson & Smith variance ratio test, Belaire-Franch & Contreras variance ratio test, and Kim Bootstrap variance ratio test. The results indicated the insurance Industry Investment Company is inefficient in weak form for the period May 1999 to November 2010. Therefore, we can conclude that the efficiency of the insurance Industry Investment Company does not hold.

Today, we are in the illusion of imagining that we have permanent loyal customers. We always have to be positive about losing customers because competitors are constantly increasing their awareness and effort. In such an environment, management has to evaluate and act wisely in all decisions. In this one-year study, the Fuzzy Delphi method introduced an intelligent marketing model for the sustainable expansion of the Sinai industry. The results show that the most important dimensions of the smart marketing model in three phases (input, analysis and output) are 13 general components and 42 indicators. Finally, based on the analysis performed, the final model of intelligent marketing was designed in three phases. Respected managers in this field are suggested to use the proposed model in order to create a competitive advantage.

Due to the stochastic nature of wind energy, allocating an appropriate Investment incentive for wind generation technology (WGT) is a complicated issue. We propose an improvement on the traditional incentive, known as capacity payment mechanism (CPM), to reward the wind generators based on their performance exogenously affected by the wind energy potential of the location where the turbines are installed, and therefore, lead the Investments towards locations with more generation potential. In CPM, a part of Investment cost of each generator is recovered through fixed payments. However, in our proposal, wind generators are rewarded according to dynamic forecasts of the wind energy potential of the wind farm where they are located. We use an auto-regressive moving average (ARMA) model to forecast the wind speed fluctuations in long-term while capturing the auto-correlation of wind velocity variation in consecutive time intervals. Using the system dynamics (SD) modelling approach a competitive electricity market is designed to examine the efficiency of the proposed incentive. Performing a simulation analysis, we conclude that while a fixed CPM for wind generation can decrease the loss of load durations and average prices in long-term, the proposed improvement can provide quite similar results more efficiently.

For more than a decade of modern financial theory as only the most filed comments on the capital market has been the basis of most studies. But the crisis created in the past decade in most countries and as wll as that many research topic it shows the failure of the modern theory and traditional assumption in fainancial market.So need to reload this theory strongly felt. This new approach according to chaos theory and the fractal science, Has transformed the classical ideas and methods and words are sufficient to describe the capital market to be done.In this paper, we attempt to introudioced the new approach in fainance. This paper present the mulifractal models of assest return (MMAR). and test  the  investing Company return by three method (MS-EGARCH), Multifractal, Symmetric market (GARCH), Asymmetric (EGARCH).

The aim of this study was to evaluate the impact type of finance on Investment efficiency in the Company is listed on the Tehran Stock Exchange. What distinguishes this research from other research in the field of Investment efficiency is variable financing policy Using the Hierarchical model that the debt ratio, financial leverage and accumulated earnings have used is measured and to measure the efficiency of Investment have used biddle (2009). sample Statistical has been selected using systematic elimination and restricting the number of variables 85 years (1390-1394). hypotheses, were tested and analyzed using regression model and control variables taking into account the value of the Company, ROA, ROE and net working capital using panel data regression technique with E'views9 software. The results suggest that financial policies have significant impact on Investment efficiency. In addition, financial policies and Investment efficiency have different effects in companies with different values. To users of financial statements including investors recommended to choose companies with higher debt ratio and financial leverage and less accumulated earnings.