Business and Economics Research Journal

579-591

Authors: Zeynep Kantur, Gülserim Özcan

The most effective policy to prevent climate change is the decarbonization of the production process. Decarbonization, which should be planned and not delayed, will cause some assets to become idle or stranded, either entirely or partially. Therefore, the transition to a low-carbon economy results in sudden and unexpected fluctuations in asset prices. These shocks will affect the relevant sector and all production sectors with a domino effect and deteriorate financial stability. To the extent that these shocks are predictable, policymakers can prepare for the repercussions of green financial transformation. However, the tools needed to pre-measure them are new and dependent on many economic variables. Therefore, policymakers need a road map to act under this uncertainty. This paper theoretically provides insights into central banks’ role/engagement under climate change ambiguity. The paper shows that the less the central bank trusts its policy model, the higher the sensitivities of inflation, output-gap, and asset price-gap to climate-related shocks. Hence, an aggressive response of monetary policy is required in the face of uncertainty.

607-623

Authors: Deniz Ikizlerli

This study investigates the relationship between volume and volatility in the context of the Mixture of Distribution Hypothesis (MDH) and Sequential Information Arrival Hypothesis (SIAH) with respect to company size in Borsa Istanbul (BIST). Employing the generalized method of moments (GMM) method and granger causality tests, we find statistical evidence supporting the MDH for large-cap stocks, whereas we document no evidence of contemporaneous interaction between volume and volatility for mid-cap and small-cap stocks. This suggests that the dissemination of information in the stock market appears to be primarily through large firms. Our findings for large cap stocks have not changed across economic states. In terms of SIAH, for the stocks of companies of any size, we document uni-directional causality running from volatility to volume but not the other way around which is not consistent with the SIAH. However, we find supporting evidence of the SIAH for large cap stocks during the expansion periods.

687-705

Authors: Yesevi Alperen Yasa, Ruziye Cop

That Instagram is one of the most used social media platforms around the world which makes this application also one of the largest global markets in the world. People or businesses may easily set up a virtual store by employing the application Instagram. However, in order to achieve success in Instagram, it is necessary to gain the trust of consumers just like in e-commerce sites. The aim of this study is to determine factors forming the trust in Instagram stores and effect of the trust in Instagram stores on the purchase intention. Within this scope, 439 people were surveyed, which were selected by means of convenience sampling method, are Instagram users. Variance-based structural equation modeling was employed for analyses. In the conclusion of analyses carried out, it was detected that factors pertaining to the propensity to trust, customer endorsement, user likes and the number of followers, the perceived integrity, perceived benevolence, and perceived competence of an Instagram vendor have an effect on the trust of consumers in Instagram stores. Furthermore, it was concluded that the trust in Instagram stores had an effect on the purchase intention of users from Instagram stores.