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Chandima Tilakaratne
Chandima Tilakaratne
Professor of Statistics (Chair), Department of Statistics, University of Colombo, Sri Lanka
Verified email at stat.cmb.ac.lk - Homepage
Title
Cited by
Cited by
Year
Predicting Australian stock market index using neural networks exploiting dynamical swings and intermarket influences
H Pan, C Tilakaratne, J Yearwood
Journal of research and practice in information technology 37 (1), 43-55, 2005
892005
Predicting stock market index trading signals using neural networks
CD Tilakaratne, SA Morris, MA Mammadov, CP Hurst
Proceedings of the 14th annual global finance conference (GFC’07), 171-179, 2007
422007
Modified neural network algorithms for predicting trading signals of stock market indices
CD Tilakaratne, M Mammadov, SA Morris
Deakin University, 2009
312009
Macroeconomic effects of monetary policy shocks: Evidence from Sri Lanka
K Abeygunawardana, C Amarasekara, CD Tilakaratne
South Asia Economic Journal 18 (1), 21-38, 2017
222017
Effectiveness of using quantified intermarket influence for predicting trading signals of stock markets
CD Tilakaratne, MA Mammadov, SA Morris
172007
Artificial Neural Network Approach for Modelling Soil Temperature: A Case Study for Bathalagoda Area
CD 5 Napagoda N. A. D. N., & Tilakaratne
Sri Lankan Journal of Applied Statistics 13, 2012
162012
An improved probabilistic neural network model for directional prediction of a stock market index
V Chandrasekara, C Tilakaratne, M Mammadov
Applied Sciences 9 (24), 5334, 2019
132019
A neural network approach for predicting the direction of the australian stock market index
C Tilakaratne
University of Ballarat, 2004
122004
Forecasting Black Tea Auction Prices by Capturing Common Seasonal Patterns
D Induruwage, CD Tilakaratne, S Rajapaksha
Sri Lankan Journal of Applied Statistics 16 (3), 195-214, 2016
112016
Forecasting exchange rates using artificial neural networks
NV Chandrasekara, CD Tilakaratne
Sri Lankan Journal of Applied Statistics 10 (2009), 187, 2009
112009
Quantification of intermarket influence on the Australian all ordinary index based on optimization techniques
CD Tilakaratne, S Morris, M Mammadov, C Hurst
ANZIAM journal 48, C104-C118, 2006
112006
Predicting the Australian stock market index using neural networks exploiting dynamical swings and intermarket influences
H Pan, C Tilakaratne, J Yearwood
AI 2003: Advances in Artificial Intelligence: 16th Australian Conference on …, 2003
112003
A comparison of accuracy of forecasting models: A study on selected foreign exchange rates
P Nanthakumaran, CD Tilakaratne
2017 seventeenth international conference on advances in ICT for emerging …, 2017
102017
Quantification of intermarket influence based on the global optimization and its application for stock market prediction
CD Tilakaratne, MA Mammadov, CP Hurst
2006 International Workshop on Integrating AI and Data Mining, 42-49, 2006
102006
An Intelligent System for Forex Trading: Hybrid ANN with GARCH and Intrinsic Mode Functions
LL Pathberiya, H. A., Tilakaratne, C. D., Hansen
2017 Intelligent Systems Conference (INTELLISYS), 436-445, 2017
92017
A study of intermarket influence on the Australian all ordinary index at different time periods
CD Tilakaratne
Proceedings of the 2nd Australian Business and Behavioural Seiences …, 2006
92006
Predicting trading signals of stock market indices using neural networks
CD Tilakaratne, MA Mammadov, SA Morris
AI 2008: Advances in Artificial Intelligence: 21st Australasian Joint …, 2008
82008
Predicting Australian Stock Market Index using Neural Networks Exploiting Dynamic Swings and Inter-market Influences
P Heping, C Tilakaratne, Y John
Journal of Research and Practice in Information Technology 37 (1), 2005
72005
Estimating Parameters of Multivariate scaled t Distribution of GSPC and its associated financial indices
NV Chandrasekara, MA Mammadov, CD Tilakaratne
International Journal of Statistics and Economics 16 (3), 2015
52015
Portfolio selection using cointegration and modern portfolio theory: An application to the Colombo Stock Exchange
THSR Thirimanna, C Tilakartane, I Mahakalanda, L Pathirathne
Matematika, 195-202, 2013
52013
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