A number of methods have been developed to choose the best capital investment projects such as net present value, internal rate of return and etc. Internal rate of return method is probably the most popular method among managers and investors. But despite the popularity there are serious drawbacks and limitations in this method. After decades of efforts made by economists and experts to improve the method and its shortcomings, Magni in 2010 has revealed a new approach that can solves the most of internal rate of return method problems. This paper present a new method which is originated from Magni’s approach but has much more simple calculations and can resolve all the drawbacks of internal rate of return method.

This paper studies the relationships between some economic variables (inflation rate, interest rate and growth rate of gold price) and Tehran stock exchange (stock market return and the growth rate of stock transactions volume) during April 1998 to March 2008. Moreover, the interest rate has been demonstrated using two variables: the return of bonds and the interest rate of one-year investing deposits in state banks.The two methods applied to test the hypotheses are: multivariable simple regression estimation using OLS estimator as well as co- integration regression estimation using JOHANSEN test.The findings of econometrics methods) Johansen test & VAR model (show that inflation has a positive and meaningful relationship with variables of Tehran stock exchange in the long run, and its growth will lead to an increase in the return and growth of stock market transactions. Although since june2003, the investment in stock market has not been a protection against inflation, stocks would have been a protection against inflation before this.for investigating the relationship between money market and capital market when The interest rate of one-year bank deposits was used, it showed a reverse meaningful relationship proving that an increase in bank interest rate through drawing investments results in a reduction in the return and stock transactions volume. So these two markets can be considered as two competing and supplementary markets in the long run. But when the return rate of the bonds was used as a demonstrator of the money market, a positive meaningful relationship was achieved which shows that the bonds are not the competitor investing chance for stock and the increase in its return rate has no negative effects on the stock market. As far as the relationship between gold return and return and growth of stock transactions volume is concerned, the results of vector-error correction model show that gold market could be a substitute for stock market in a short term and gold return plays an important role in explaning the stock market trend in the short run, while this relationship is not meaningful in the long run.

The main purpose of this paper is to evaluating the effects of some methodological problems and issues on the estimates of return rate of education to achieve accurate and reliable figures. After intensively and critically reviewing the empirical studies, opportunity cost, selectivity and endogeneity and the hierarchical structure of data have been recognized as critical problems and issues dominating the estimates, then their effects on return to education have been examined using data from the economic and social characteristics of household survey 2012 conducted by the Statistical Centre of Iran. The key findings are: 1. return to education for the head of households in Iran is positive but less than the estimates of some other countries; 2. the rate is higher for females as well as for employees in urban areas; 3. return to higher education is more than that for general education; 4. the estimates are very sensitive to the issues of opportunity cost, selectivity and endogeneity, and the hierarchical structure of data, so that ignoring these problems leads to underestimates of the return to education. Such problematic estimates then might be very misleading in resource allocation which would affect the development goals of a country. At the end, some specific topics for future research are also offered.

Capital is one of the most limited inputs in agriculture of Iran, which impacts creating value added process. Capital rate of return is an index of capital productivity, therefore, in this paper, capital rate of return in sub agricultural sectors by use of capital stock time series during 1959-2005 and production function technique was determined. Results show that the best form of production function for Agronomy and Horticultural sub sectors is Cobb-Douglas, for Husbandry sub sector is Transcendental and for Fishery and Forestry sub sectors is Cobb-Douglas. Results also show that average capital rate of return in Agronomy and Horticultural sub sectors, Husbandry sub sector, Forestry and Fishery sub sectors is 1.7, 3.8, 0.42 and 0.21 respectively.

One of the goals of financial reporting is to provide the useful information in order to facilitate the decision making. Accounting information system is of high importance for the users to make specific decisions. The information should be analyzed to present the valuable information to the investors so that in this paper, the relative content and return additive with cash recovery have been addressed in the corporates of Tehran Stock Exchange. This research population includes the accepted corporates by Tehran Stock Exchange during a five year period (2010-2014). Finally, considering the research limitations and using the systematic deletion method, the information related to 109 corporates has been gathered and with respect to the defined goals, this research is regarded as an applied one. In terms of the research design, it is an event one because of background data and its deduction method is an induction and correlation one.Current study involves a primary hypothesis and six secondary hypotheses; here, a linear regression method has been used to examine the hypotheses. In order to analyze the data and test the research hypotheses, the software Eviews has been utilized.

The rate of return on investment and its fluctuation in the agricultural sector were estimated using a modified form of Cobb - Douglas production function. In addition to labor and capital, trend factor and dummy variable were included in the model to study the effects of technical change and the Islamic Revolution on the agricultural output respectively. Results indicated the average productivity of capital during the 1350- 78 period was 2.5. Despite considerable fluctuation, the productivity of capital in agriculture has been increasing during this period. Compared with other sectors of the economy, agriculture has performed better in terms of the efficiency of capital. Rate of return on investment in the agricultural sector during the above period has fluctuated substantially. This fluctuation may be due to factors such as periodic drought, Iran - Iraq war, political and economic upheavals.Despite the higher productivity of capital in agriculture, the ratio of investment to value added in this sector is substantially lower than other sectors. This indicates that, agriculture has low priority in the allocation of public and private capital. Based on the findings of this study, agricultural sector appears to have a considerable potential for absorbing capital. Some economics incentives to encourage investment in the agricultural sector are indicated.

One of the most important decisions in project appraisal and enterprise economic policy under constrained and inconsistent circumstances is to select an option among several others. If all variables can be measured by a measure called money, methods such as Internal Rate of Return (IRR) and Average Internal Rate of Return (AIRR) can be used. The AIRR method is a mode developed by the IRR method. However, this method (AIRR) may occasionally result in unrealistic (huge) periodic rates. This article adopted a simple technique to address this problem. Finally, the technique is further explained by solving several numerical examples. According to the results, the proposed method led to distribution of large periodic rates over other periodic rates producing slightly unrealistic results. The results of research indicated that the proposed method causes distribution of large size periodic rates between the rates of other periods so that the new values do not go far beyond reality.