Zobrazeno 1 - 10
of 18
pro vyhledávání: '"C. D. Tilakaratne"'
Publikováno v:
Advances and Applications in Statistics. 53:647-658
Publikováno v:
Applied Sciences
Volume 9
Issue 24
Volume 9
Issue 24
Financial market prediction attracts immense interest among researchers nowadays due to rapid increase in the investments of financial markets in the last few decades. The stock market is one of the leading financial markets due to importance and int
Autor:
C. D. Tilakaratne, P. Nanthakumaran
Publikováno v:
International Journal on Advances in ICT for Emerging Regions (ICTer). 11:1-12
The exchange rate, an economic indicator of the country is the relative price of one country’s currency in terms of another country’s currency. The stability of the exchange rate is important for a stable economic growth. Exchange rate series are
Publikováno v:
South Asia Economic Journal. 18:21-38
This study examines the impact of monetary policy shocks on output, prices and interest rates in Sri Lanka during the period 2003–2012. It finds a strong transmission of policy rate shocks onto the money market rates and the government securities m
Publikováno v:
Advances and Applications in Statistics. 49:287-303
Publikováno v:
2017 Intelligent Systems Conference (IntelliSys).
Time series forecasting can be viewed as an indispensable topic under discussion in a wide range of fields including, medicine, engineering, finance and economics, etc. As assumed by the conventional time series models static environmental conditions
Autor:
P. Nanthakumaran, C. D. Tilakaratne
Publikováno v:
2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer).
Exchange rate, an economic indicator of the country is the relative price of one country's currency in terms of another country's currency. Stability in exchange rate is important for stable economic growth. Exchange rates, a financial time series hi
Autor:
N.V. Chandrasekara, C. D. Tilakaratne
Publikováno v:
Universal Journal of Accounting and Finance. 2:53-56
In the current financial world, prediction of stock returns has become a vital task. Many prediction techniques available recently depend on the return distribution of stock index. Identifying return distribution of stock return has an immense intere
Publikováno v:
International Journal of Data Science. 4:1
Cluster analysis is considered as an approach for unsupervised learning. It tends to recognise hidden grouping structure in a set of objects using a predefined set of rules. Objects occupying unusual characteristics add noise to the data space. As a
Publikováno v:
2016 Sixteenth International Conference on Advances in ICT for Emerging Regions (ICTer).
Forecasting volatility in the stock market is an important research topic that has been immensely reviewed over the years. However, in Sri Lankan context this research topic is studied by only few researchers and they did not incorporate the day of t