Correlation in time series has recently recieved a lot of attentions. Its usage has been getting an important role in Social Science and Finance. For example, pair trading in Finance is interested with the correlation between stock prices, returns etc. In general, Pearsonís correlation...

This paper presents an application of Artificial Neural Networks (ANNs) to predict daily solar radiation. We look at the Multi-Layer Perceptron (MLP) network which is the most used of ANNs architectures. In previous studies, we have developed an ad-hoc time series preprocessing and optimized a...

Purpose – This paper aims to examine two hypotheses that have not been well investigated in the existing literature. One hypothesis is that the real interest rates of industrial countries tend to be mean‐reverting during the current floating exchange rate period. Another hypothesis is that...

The insurance industry has so far relied on historical data to develop and price weather insurance contracts. In light of climate change, we examine the effects of this practice in terms of the hedging effectiveness and profitability of insurance contracts. We use simulated crop and weather data...

Acknowledging the importance of the private construction market and a close linkage between private construction investment, public sector output and general economic conditions, there is a strong motivation to develop reliable models to forecast private construction investment. Based on the...

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Purpose – This paper aims to examine two hypotheses that have not been well investigated in the existing literature. One hypothesis is that the real interest rates of industrial countries tend to be mean-reverting during the current floating exchange rate period. Another hypothesis is that the...