Current Issue : April - June Volume : 2018 Issue Number : 2 Articles : 5 Articles
Stock market returns has increasingly become a leading indicator of a country�s economic\nperformance. This explains academia�s growing interest in determining factors affecting stock\nreturns. A majority of recent studies on Singapore�s economic performance focused centrally\naround policy impact or property prices, and not specifically on stock returns. This study\naimed to fill this gap, by examining if, and how, historical movements in the Straits Times\nIndex (STI) were explained by the S$NEER, Monetary Supply, CPI, Balance of Payments,\nCrude Oil Prices, Electricity Generated, GFCF, Industrial Production, Merchandise Trade, or\nLabour Cost. By utilizing a Structural Vector Auto regression (SVAR) Model, approximately\n48% of the STI�s variance was collectively attributable to these ten macroeconomic variables,\nall of which had short-term impact on the STI. Looking forward, further research could be\nconducted examining the impact of said variables on individual sectoral stock indices, for\ngreater insight on the dynamics of their relationships....
The relationship between foreign portfolio investment (FPI) and various macroeconomic\nvariables of China has been discussed in the existing literature. However, the link between\nChina�s accounting reforms and FPI is yet to be explored. This study intends to discover the\nimpact of changes in China�s accounting system and convergence of its domestic accounting\nstandards (henceforth referred to as accounting reforms) on FPI. We have used Binary Choice\nModel in Eviews for two decades� data. In our analyses, FPI has been taken as dependent\nvariable, whereas accounting reforms, annual increase in listed companies, GDP growth of\nChina and financial crises are taken as explanatory variables. The results of our model reveal\na significant relationship between accounting reforms and FPI; moreover, Granger causality\ntest shows a significant causal relationship between yearly increase in listed companies and\nFPI. Our findings are theoretically rational and can be useful for both investors and the\npolicymakers....
Inflation is one of the serious economic indicators in Pakistan. Inflation can be crawling,\nwalking, running, hyper and stagflation according to nature. To model monthly inflation rate\nin Pakistan periodogram analysis and frequency domain analysis which is also known as\nFourier analysis or spectral analysis is used. After analyzing the data, inflation cycle length is\nobserved and appropriate Fourier series models are fitted to the data. Monthly inflation rate is\nalso analyzed by Auto Regressive Integrated Moving average (ARIMA). Further, models are compared and it is found that Fourier series models are more suitable to forecast inflation rate\nof Pakistan....
In this paper, analysed that Nigeria is the poor country and facing the problem of inflation from last few years.\nThe prime objective of this paper is to analysis the impact on all the developing and under developing countries.\nWe have applied the regression analysis and taken the tile series data. Our results are showing that there negative\nrelationship between Nigeria stock exchange and rate of inflation from last few years. We are also trying to expose\nthat importance of stock exchange in all over the country and due to high inflation rate there is very worst impact on\nthe progress of the economy. Our study suggested that government should make inflation control policies for the\nbetter performance....
Primary objective of the present study was to examine the relationship between use of capital\ninvestment appraisal practices and effectiveness of investment decision of listed\nmanufacturing companies in Sri Lanka. Capital investment appraisal practices were measured\nby capital investment appraisal techniques and risk analysis techniques of investment projects.\nEffectiveness of investment was measured by perceptions of CFOs on the performance from\ninvestment. Firm size was used as the control variable to examine the relationship between\ninvestment appraisal practices and effectiveness of investment decision. The study employed\na field survey from January to March 2017 and primary data was collected through\nself-administered questionnaires from randomly selected 20 listed manufacturing companies.\nResults of the study revealed that use of NPV and IRR have significantly positively related to\neffectiveness of investment decision while DPB has significantly negatively related to\neffectiveness of investment decision of listed manufacturing companies in Sri Lanka. Risk\nanalysis techniques were not significantly related to effectiveness of investment decision.\nFindings of the study may useful to the investment decision makers in order to achieve the\nshareholders wealth....
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