Suchergebnisse

One of the most important variables in the study of the North Korean economy is market prices and foreign exchange rates. This is because of the assumption that the two variables immediately reflect the status and trends of the North Korean economy. In fact, many North Korean economic studies use observations on these variables as important analysis data. Despite such reality, however, market price and the foreign exchange rate are among the trickiest of all macroeconomic variables related to the economy. Researchers have yet to agree as to how the variables should be measured, what kind of methods should be used to analyze the measures, and how the outcomes should be interpreted. In an attempt to find an answer to these questions, we invited Dr. Ji Young Choi, Research Fellow at the Korea Institute for National Unification (KINU). Dr. Choi has long studied prices and foreign exchange rates in North Korea. She is recognized as one of the most prominent experts in the area not only in Korea but also abroad.

The book deals with the econometric analysis of high frequency financial time series. It emphasizes a new nonparametric approach to volatility models and provides theoretical and empirical comparisons with conventional ARCH models, applied to foreign exchange rates. Nonparametric models are discussed that cope with asymmetry and long memory of volatility as well as heterogeneity of higher conditional moments

Effect of exchange rate volatility on industrial productivity has been a controversial debate among academia and experts. This study examines effect of exchange rate volatility on industrial productivity, many studies have mixed results on the direction of exchange rate volatility and the scope of the thesis covers 35years 1981 2015 , the pre and post Structural Adjustment Programme while primary and secondary data gathered from the Nigeria industrial sector by questionnaire and time series obtained from the Central Bank of Nigeria statistical bulletin, 2014 2016 were used. The data were estimated using descriptive statistical methods chi square and mean scores and Phillip Perron and Augmented Dickey Fuller used to determine the unit roots and non stationarity among the variables. ARDL and Bound test was applied to determine short and long run co integration among independent and dependent variables. Diagnostic and Normality test applied to test for stability. The F statistics is 159.3 and the R squared is 99.7 shown that variables are jointly significant and model a good fit. The Durbin Watson of 3.04 showed no serial correlation. The results shown that foreign exchange rate has a positive relationship with industrial performance, however, the exchange rate volatility crumbled industrial production as machinery and raw materials are imported for the industry productions, while bank lending rates, FDT, Inflation and PCI have negative coefficient. The ADRL and Bound test revealed a long run relationship among the variables at 5 significance level. The government should pursue currency appreciation as exporter of mono product and encourages non oil exports and discourage Nigerian cosmopolitan pattern of consumptions. Olaleye John Olatunde | Ojomolade Dele Jacob "Effect of Foreign Exchange Rate Volatility on Industrial Productivity in Nigeria, 1981- 2015" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: ...

AbstractThis study focuses on the level of interdependence across the Central and Eastern European (CEE) foreign exchange markets (Hungary, Poland, the Czech Republic, Romania and Croatia) from September 2008 to September 2017, using the return spillover measure proposed by Diebold and Yilmaz (2009; 2012). We mainly find a bidirectional volatility spillover among these assets and the cross-market linkages in the CEE region have become stronger over time. Furthermore, the Czech exchange market has a significant influence on the rest of the foreign exchange markets. The total spillover remained very high over the periods 2010–2012 and 2015–2017, despite the noteworthy fluctuations in other periods. These results would also be useful for portfolio managers, policy makers and speculative traders to develop exploitable strategies, by providing knowledge of the transmission mechanisms of the volatility of foreign exchange markets. The results may support the distribution of assets in a financial portfolio, especially after financial integration.