Forecasting the Opening Cash Price Index in Integrating Grey Forecasting and Neural Networks: Evidence from the SGX-DT MSCI Taiwan Index Futures Contracts

2004 ◽  
pp. 151-170
Author(s):  
Tian-Shyug Lee ◽  
Nen-Jing Chen ◽  
Chih-Chou Chiu
Keyword(s):  
Neural Networks ◽  
Price Index ◽  
Futures Contracts ◽  
Index Futures ◽  
Grey Forecasting

Stock index futures contracts and separability of returns

1984 ◽  
Vol 4 (1) ◽  
pp. 87-102 ◽  
Author(s):  
Anthony F. Herbst ◽  
Nicholas O. Ordway
Keyword(s):  
Stock Index ◽  
Futures Contracts ◽  
Stock Index Futures ◽  
Index Futures

Cross-Market Linkages of Taiwan Index Futures Contracts Listed on the Taiwan Futures Exchange and the Singapore Exchange

2007 ◽  
Vol 10 (04) ◽  
pp. 561-583 ◽  
Author(s):  
Hung-Gay Fung ◽  
Qingfeng "Wilson" Liu ◽  
Gyoungsin "Daniel" Park
Keyword(s):  
Stock Exchange ◽  
Trading Strategies ◽  
Stock Index ◽  
Futures Contracts ◽  
Stock Index Futures ◽  
Index Futures ◽  
Taiwan Stock Exchange ◽  
Market Linkages ◽  
Cointegration Tests ◽  
Causality Tests

Cointegration tests and ex ante trading rules are applied to study cross-market linkages between the Taiwan Index futures contracts listed on the Singapore Exchange and the Taiwan Stock Exchange Capitalization-weighted Stock Index futures contracts listed on the Taiwan Futures Exchange. The exchange rate-adjusted returns of the two futures series do not differ significantly in mean but in variances, and show significant mean-reverting tendencies between them. Our trading strategies are able to generate statistically significant, if economically insignificant, profits, while our Granger causality tests demonstrate that information flows primarily from the Singapore market to the Taiwan market, a result confirming other research.

scholarly journals Evaluación del índice económico de Colombia para el período 2020 a 2022 con redes neuronales artificiales

2020 ◽  
Vol 42 (1) ◽  
pp. 25-33
Author(s):  
Valeria Alejandra Bustamante Zuleta ◽  
Hermes Jackson Martinez Navas
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Gross Domestic Product ◽  
Price Index ◽  
Consumer Price Index ◽  
Oil Price ◽  
Domestic Product ◽  
Positive Effects ◽  
Market Rate ◽  
Macroeconomic Indicators

This article analyze some of the important macroeconomic indicators in Colombia,such as the Consumer Price Index (CPI), the Gross Domestic Product (GDP), the Representative Market Rate (TRM), the Oil Price (BRENT and WIT) and COLCAP. The objective is to study Colombia's economic.The analysis were obtained with artificial neural networks on Colombian indicators data for the period 2001 to 2018 of the National Administrative Department of Statistics (DANE) and Bloomberg. Concluding, for Colombia, the last two cases are highly favorable for the economy, because they will generate a greater influx of dollars, allowing positive effects on the domestic product and the consumer price index.

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