SUSTAINABILITY BLUE DISCLOSURES: INDEX DEVELOPMENT AND PRELIMINARY IMPLEMENTATION

The aim of this paper is to develop a sustainability blue disclosure index and evaluating the implementation to provide preliminary findings through the information disclosed in annual reports. This disclosure considers blue economy activities namely Sustainability Blue Disclosures (SBD). A qualitative approach was applied in this study by the content analysis method. This research uses saturated sampling, taken all available annual reports from the listed fisheries and marine companies from 2015 to 2019 at the Indonesia Stock Exchange. These results may indicate that the companies are in the early stage to understand sustainability issues, including the availability and quality of raw materials, changing of environmental quality, working capital performance, fluctuation of the foreign exchange rate, and demand from the global markets.

PENGARUH TINGKAT SUKU BUNGA DEPOSITO, KURS VALUTA ASING DAN TINGKAT INFLASI TERHADAP VOLUME PERDAGANGAN SAHAM PADA BURSA EFEK INDONESIA

The purpose of this study was to determine the effect of deposit interest rates, foreign exchange rates and inflation rates on the volume of stock trading on the Indonesia Stock Exchange. This study applies a survey method to 54 Manufacturing companies that have been listed on the Indonesia Stock Exchange for the 2017-2019 period. The sampling technique used the proportional random sampling method. The research data were analyzed using multiple linear regression analysis. The results showed that the variable deposit interest rate, foreign exchange rate, inflation rate simultaneously had a significant effect on stock trading volume and the variable deposit interest rate, foreign exchange rate, inflation rate partially had a positive and significant effect on the volume of stock trading in manufacturing companies in Indonesia. Indonesia stock exchange. The coefficient of determination (R^2) is 50.7 percent, this shows that variations in the variable deposit interest rate, foreign exchange rate, inflation rate can explain the variation in stock trading volume 50.7%.

Forecasting INR Exchange Rate Against USD, GBP, JPY, SGD, EUR, AED Using Machine Learning

The price of a native currency expressed in terms of another currency is known as a foreign exchange rate. In other terms, a foreign exchange rate compares the value of one currency to that of another. The value of standardized currencies varies with demand, supply, and consumer confidence around the world due to which their values fluctuate over time. To forecast the exchange rate of INR, I have developed a machine learning model. The model was trained to estimate six foreign currency exchange rates against the Indian Rupee using historical data. This model uses Random Forest algorithm to train and predict the values. The suggested system’s predicting performance is assessed and contrasted using statistical metrics. According to the findings, the Random Forest algorithm-based model predicts well and achieves an accuracy of 93.61%. KEYWORDS: Regression, Random Forest, Exchange Rate, INR

Impact of socioeconomic development on inflation in South Asia: evidence from panel cointegration analysis

Purpose This study aims to examine the influence of socioeconomic development on inflation in South Asia using the foreign exchange rate and money supply as control variables. Design/methodology/approach The study uses annual panel data for five South Asian economies, namely, Bangladesh, India, Nepal, Pakistan and Sri Lanka over the period 1990–2018, applies cointegrating regression techniques, namely, the panel dynamic ordinary least square (OLS) and fully modified OLS estimators to examine the long-run relations and conducts the Toda-Yamamoto Granger causality test to detect the direction of causality among variables. Findings The cointegrating regression estimations have documented that the socioeconomic development proxied by the human development index (HDI) has no significant impact on inflation. Although economic development represented by gross domestic product (GDP) growth causes inflation, socioeconomic development represented by HDI has no impact on inflation and has demonstrated as a better macroeconomic indicator, and thus creates no inflationary pressure in the economy. The foreign exchange rate has a positive impact on inflation. The broad money supply has the usual positive effect on domestic inflation that endorses the monetarist view about prices. The Toda-Yamamoto Granger causality test has confirmed several unidirectional causalities: inflation causes HDI, money supply causes both inflation and HDI and the foreign exchange rate causes HDI. Practical implications The study has practical implications for policymakers in South Asia, to improve HDI, particularly GDP per capita, education and health-care facilities to realize continuous socioeconomic development, which will take care of inflation. Moreover, these counties may follow a conservative monetary policy to control inflationary pressure in their economies. Originality/value The study is original and claims to be the first to examine the impact of socioeconomic development on inflation. The findings have socioeconomic values regarding controlling inflation in South Asia.