جستجوی مقالات مرتبط با کلیدواژه « NARDL » در نشریات گروه « مالی »

The dynamic relationship between stock prices and housing prices has been an important topic of discussion in the academic and professional literature. The impact of stock prices on housing prices can be examined through two substitution effects and the wealth effect. Real estate and stocks are both assets and can also be considered investment options. The connection between these two assets, housing and stocks, can be interpreted as a substitution effect. This implies that a high return on investment in the stock market may lead investors to divest from the housing market, resulting in a decrease in demand and housing prices. In this case, stock prices will harm housing prices. When housing is considered as a consumer good, the effect of wealth is more pronounced. An increase in income and wealth, including financial assets due to the increase in stock prices, has a positive effect on the total consumption expenditure, including housing costs. More specifically, because homeowners receive windfalls from stocks, the wealth effect of these windfalls increases the purchase of houses as a consumer good. In other words, the wealth effect establishes a positive correlation between stock prices and housing. This is because high returns in the stock market augment the overall wealth of homeowners, enhancing their capacity to invest in additional real estate. Therefore, the stock market index can have a positive or negative effect on housing prices. It is necessary to examine this relationship for each country in detail and based on statistical evidence. Accordingly, in the present study, the effect of the stock market index on housing prices in Iran is investigated.

To reach the research goals, data spanning from 1971 to 2020 is utilized. To test the research hypotheses, the NARDL method was used to identify possible asymmetries effect of positive and negative shocks of the stock price index on the housing price index. 

Findings show that in the short run, positive and negative shocks in the stock market index have no significant effect on the housing price index, but in the long term, positive shocks in the stock market index have a positive effect on the housing price index, while the effect of negative shocks on the housing price index is insignificant. 

According to the obtained results, due to the substantial impact of stock market fluctuations on housing prices in Iran, it is recommended that policymakers take the following into account when formulating stock market policies. First, in the policymaking process for the housing sector, where the anticipation of housing price trends is crucial, careful attention should be given to potential shifts in the stock market index. Next, a long-term boom in the stock market correlates with an increase in housing prices, while the impact of a stock market downturn on housing price increases is deemed insignificant. Consequently, policies promoting a stock market boom can be considered as a contributing factor to the rise in housing prices.

Forecasting the stock market in each period has been difficult and the value of stock trading has been affected by various factors. Among these factors have been the oil and gas sector, especially in countries that depend on the revenue from their sales. On the other hand, the outbreak of Covid-19 pandemic has led to profound changes in both areas. Therefore, in this article, the relationship between oil prices and the Iranian stock market is examined with respect to the prevalence of the Corona pandemic. Understanding the behavior dynamics of the stock exchange value index can help to more accurately predict the future behavior of this variable. Accordingly, the main purpose of this paper is to analyze the asymmetric relationship between oil prices, as well as the simultaneous impact of the corona pandemic news and the rate of corona virus infection on the value of the Iranian stock exchange. In the present paper, nonlinear Autoregressive Distributed Lag (NARDL) in the time period (1399: 05: 15-1398: 11: 30) has been used. The results show that in the long run, rising oil prices have a significant asymmetric effect on stock exchange value. On the other hand, in the short run, the rate of Covid-19 patients has a positive relationship without meaning and the Covid-19 media index has a negative relationship with meaning with the value of stock exchange trading.