Forecasting based pricing of Weather Derivatives (WDs) is a new approach in valuation of contingent claims on nontradable underlyings. Standard techniques are based on historical weather data. Forward-looking information such as meteorological forecasts or the implied market price of risk (MPR)...

Forecasting based pricing of Weather Derivatives (WDs) is a new approach in valuation of contingent claims on nontradable underlyings. Standard techniques are based on historical weather data. Forward-looking information such as meteorological forecasts or the implied market price of risk (MPR)...

Electricity load forecasts are an integral part of many decision-making processes in the electricity market. However, most literature on electricity load forecasting concentrates on deterministic forecasts, neglecting possibly important information about uncertainty. A more complete picture of...

Forecasting based pricing of Weather Derivatives (WDs) is a new approach in valuation of contingent claims on nontradable underlyings. Standard techniques are based on historical weather data. Forward-looking information such as meteorological forecasts or the implied market price of risk (MPR)...

We develop and apply a procedure to test the welfare implications of a beauty and non-beauty contest based on survey forecasts of interest rates and yields in a large country sample over an extended period of time. In most countries, interest rate forecasts are unbiased and consistent with both...

Overconfident CEOs are known to overestimate their ability to generate returns, overpay for target firms, and take excessive risks. We find a CEO's overconfidence can also indirectly affect other market participants, specifically analysts who issue earnings forecasts. First, firms with...

The aim of this paper is to investigate the Support Vector Machine (SVM), the Binary Gravity Search Algorithm combined Support Vector Machine (BGSA-SVM), the Multi-layer Perceptron (MLP), the Convolution Neural Network (CNN) and the Long Short-Term Memory (LSTM) neural network, when applied to...

Using a novel equity lending dataset, this paper is the first to show that expected returns strongly and negatively predict future equity lending fees. In comparing two expected return measures, I find that a rational expected return has stronger predictive power of future short selling activity...

This study questions whether the Feri Trust Rating, the Euro Fondsnote and the Finanztest-Bewertung are able to predict the future performance of German equity mutual funds. These three fund valuations are used to check whether ratings have a higher predictability than rankings using historical...