Journal of Economic Modeling Research

---

There are a lot of techniques and methods for prediction of bankruptcy among them “Statistical methods” or econometrics techniques are more popular. As dependent variable in our study is qualitative it is convenient to use qualitative discrete models. Mixed Logit model is one of the powerful and flexible techniques of discrete choices that allow the coefficients to be random with distribution function. Explanatory variables are financial ratios which derived from Zmijewski’s model. The sample data are from Tehran Stock Exchange’s Brokerage Companies during 2001-2008. We selected two random samples, one for estimation and another for prediction power test. Results show that the degree of successfulness of the model is over 90 percent.

---

Price shocks lead to oil price volatility in world oil markets. In response to this volatility, economic growth may take different regime and behavior patterns in different situation. Investigating this multi behavior patterns can be useful for policymakers to reduce the effect of oil price volatility. In this study, an EGARCH model has developed using the seasonal data of OPEC oil basket nominal prices during 1367:Q1-1389:Q4. Markov switching models is also applied to investigate the multi behavior patterns of economic growth in response to oil price volatility in Iran. The results show that positive oil price shocks sharply lead to formation of oil price volatility, but, the negative price shocks will slightly reduce oil price volatility. Iranian economic growth is affected by this volatility under three different behavior regimes. If the economy switch to one of the regimes (low, medium, high economic growth), the probability of transition between these regimes and their duration is different. So, oil price volatility as a reason for low economic growth in Iran may cause the economy switch to its lower situation.

---

One of the capital asset pricing models is CCAPM model that first time were presented by Breeden (1979). In the standard and the basic CCAPM establishes a linear relationship between consumption’s beta and excess return on assets but unfortunately, linear CCAPM made The Equity Premium Puzzle. After presenting puzzles like equity premium puzzle, adjustments were made in the CCAPM. For this purpose in this paper, adjustments have been made in the preferences as explores the implications of a novel class of preferences for the behavior of asset prices. This class of preferences was suggested first time by Marshall (1920), that according to it, people derive utility not only from consumption, but also from the very act of saving.
In this paper, we derive the Euler equations after modeling preferences based on the savings and consumption estimate them with GMM. In order to estimate the models, is examined quarterly data of 1977 to 2010. The models are significant in the other words it can be concluded that consumption and saving are successful in explaining stocks returns. Based on the estimated parameters in the models we can conclude that β is greater than 0.8 and savings is significant in preferences function but don’t have high value. In addition, these results indicate that economic agents are risk averse.

---

The main purpose of this study is to investigate the effects of physical capital, human capital and social capital on the entrepreneurship level of individuals, using structural equations model and order logit model in Shahid Salimi industrial town of Tabriz in 2016. The data were collected form 121 economic activist who were randomly selected form the population. The empirical results show that human capital (level of education) and physical capital have negative and significant impact on the entrepreneurship level of individuals. But, human capital (level of experience) and social capital have positive and significant impact on the entrepreneurship level of individuals. In addition, attitudes, self-efficacy and expected entrepreneurial benefit have positive and significant effects on the entrepreneurship level of individuals.

---

The fundamental aim of this study is to investigate the structural dependence between the cryptocurrency and the stock market index. In this study, the total index of Tehran Stock Exchange has been used as a representative of the developing stock market and the index (S&P500) has been used as a representative of the developed stock market. using daily data during the period from 8 August 2015 to 21 February 2023. The results show that there is no structural dependence between the return Bitcoin and Iran stock market , either in the short term or in the long term. In other words, the changes domain in return of Bitcoin during the low and high ranges on the return of the mentioned index are insignificant. The results indicates that the cryptocurrency market is separated from the main class of financial and economic assets and hence offers various benefits to investors. Also, in the long term, for the return of Bitcoin cryptocurrency and the S&P500 stock index, Clayton's copula function was chosen in the first place as the appropriate model to explain the correlation. There is no correlation between the returns of Bitcoin and the s&p500 stock index in the short term. The findings of this study indicate the important role of cryptocurrencies in investors' portfolios as they act as a diversified option for investors and confirm that cryptocurrencies are a new investment asset class. Furthermore, it analyzes the upside and downside risk spillovers between stock markets and the cryptocurrency market by quantifying market risk measures, namely the conditional VaR (CoVaR) and the delta CoVaR (ΔCoVaR). The results indicate that Bitcoin, Ethereum and Ripple cannot be considered a strong hedge during the time of crisis. The speculative nature of cryptocurrencies and risks embedded in Bitcoin, Ethereum, and Ripple increases the risk flow to stock markets during a crisis, thus rendering the hedging costlier.  increases the risk flow to stock markets during a crisis, thus rendering the hedging costlier.