Search results

Purpose: Investor sentiment in financial markets has a close relationship with the general mood prevailing in the environment such as economic, social and political life. Future economic expectations are important for both investors and policymakers. Investor sentiment and macroeconomic variables are likely to affect each other. Emerging countries are particularly sensitive to interest and foreign exchange risk. Turkey is an important emerging country. The effects of interest rate and exchange fluctuations are high in this country. The aim of this study is to reveal the relationship between investor sentiment and interest and foreign exchange rates in Turkey.

Methodology: This study investigates the relationship between economic confidence index, exchange rates and interest rates in Turkey during the period between January 2012 and November 2019 using monthly data sets. The economic confidence index is used to represent the investor sentiment in the study. Interest rate variables are the deposit interest rates and the commercial credit interest rates. The representative of the US dollar currency variables is included in the analysis. This chapter used the time series vector error correction model approach of stationarity test, cointegration test and Granger causality test.

Findings: According to the causality test, there is a two-way relationship between economic confidence index and exchange rate, and there is uni-directional causality from commercial credit interest rate to economic confidence index. The results show that foreign exchange and commercial credit interest rate variables are carefully monitored by market players and are effective and influential in the formation of future expectations.

Originality/value: The study shows the direction of the relationship between economic confidence foreign exchange and commercial credit interest rate. Policymakers can shape expectations by taking into account the direction of the relationship.

Capital markets thrive on information, and the information revolution has transformed these markets all over the world. Investors can now keep track of the movements of capital markets in real-time and they react to the flow of information from around the world. One of the concerns of stock market investors is whether the markets operate efficiently, independently, and with sound fundamentals. However, real market movements tend to exhibit a link as is evident from recent market movements across the world.

The assessment of interdependence between stock markets is an important aspect of international portfolio management. The aim of this chapter is to examine the shock and volatility spillover between the Standard and Poor’s 500 (S&P500) index from the United States (US) Stock Exchange and the Istanbul Stock Exchange 100 (BIST100) index from the Stock Exchange Istanbul.

S&P500 index, which is the most important index representing US markets, and BIST100 index, which is the index representing the Turkish market, were used as variables in this study. In the analysis, the causality in variance test was applied to determine the volatility spillover between these two markets. Later, multivariate GARCH (MGARCH) models were used to measure the volatility spillover in the markets. VAR(1)-GARCH (1,1)-Diagonal BEKK model was applied to the daily data to determine the shock and volatility spillover in the markets.

As a result of the variance causality test, it was found that there is a bi-directional volatility spillover between S&P500 index and BIST100 index. When the return spillover between the markets is examined, a one-way spillover from the S&P500 index to the BIST100 index emerged. Diagonal BEKK model results show that each market is affected by its own news (unexpected shocks) and volatility. Furthermore, the volatility is persistent for both markets. These findings demonstrate that the US market and the Turkish market interact with each other.

The chapter explains the Blockchain and its application in cryptocurrency and in various sectors. It gives an insight into the level of adoption of Blockchain technology globally based upon industry, country, and component. China is leading all nations worldwide, followed by the United States. The study will help to understand future research regarding its applications in different sectors of the economy. The study will also help to understand the significance and complications regarding risk and regulation. Its adoption in the logistics and supply chain is meant to achieve error-free communication and efficient tracking management.

Purpose: The main aim of this study is to explore the emergence and significance of blockchain technology in the financial system. This analysis examines the early stages of the adoption of blockchain technology.

Need of the study: To ascertain the viability of blockchain systems as a viable, fair, and traceable way of storing transaction records in Indian banking and financial services organisations.

Methodology: By virtue, this study is exploratory, following access to related studies on the implementation and applications of blockchain technology in the financial sector.

Findings: This study explores blockchain technology, its adoption, types, usefulness, benefits, challenges, and security concern in the banking sector.

Implications: This study will contribute to future research on applications of blockchain technology in the financial sector. It will help the researcher understand this technology’s importance and complications in the financial system.