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the world economy, simulating aggregate shocks, and assessing the relevance of global shocks based on the level of …
Persistent link: https://www.econbiz.de/10014518548
, financial markets face many ultrafast orders, yet a coherent theory of price change at time scales incomprehensible by humans … and only manageable by computers is still lacking. The theory presented in this paper attempts to fill this gap. The … outcome of such a theory is important for purposes of market stability, crisis avoidance, investment planning, risk management …
Persistent link: https://www.econbiz.de/10013272630
Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...
Persistent link: https://www.econbiz.de/10013475217
The study reports empirical evidence that artificial neural network based models are applicable to forecasting of stock market returns. The Nigerian stock market logarithmic returns time series was tested for the presence of memory using the Hurst coefficient before the models were trained. The...
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This study contributes new empirical evidence on the profitability of a momentum strategy in the Philippines equity market. The study was conducted over the time period January 2000 to June 2012. We evaluated a momentum strategy based only on past return information as well as a strategy that...
Persistent link: https://www.econbiz.de/10009741262