This paper focuses on a nonlinear stochastic model for financial simulation and forecasting based on assumptions of multivariate stochastic correlation, with an application to the European market. We present in particular the key elements of a structured hierarchical econometric model that can be used to forecast financial and commodity markets relying on statistical and simulation methods. The...

capital asset pricing, as one of the basic theories in finance and investment area, develop a model for estimation of expected rate of return and equity cost of capital. this model has many applications in the field of finance. one of anomalies in the capital asset pricing model is the value premium that its proponents believe this risk premium is compensation for a risk not mentioned in origin...

This study aims to examine the effect of Earnings Per Share, Return On Equity, Debt Equity Ratio on Stock Returns. The statistical method used uses multiple regression analysis. type data in this research is secondary whose source was obtained from Indonesia Exchange for 2019-2021 period. population were 18 companies that entered LQ45 period 2019 -2021 IDX. results indicate Share has an Returns...

Since the introduction of volatility derivatives, there has been growing interest in option implied volatility (IV). Many studies have examined informational content, and or forecast accuracy of IV, however there is relatively less work on directly modeling and forecasting IV. This paper uses a semi-parametric forecasting approaching to implement a time varying long volatility hedge to combine ...

This paper revisits the time-series relation between the conditional risk premium and variance of the equity market portfolio. The main innovation is that we construct a measure of the ex ante equity market risk premium using corporate bond yield spread data. This measure is forward-looking and does not rely critically on either realized equity returns or instrumental variables. We find strong ...

In many European countries, the deregulation of energy markets leading to the introduction of unbundling and incentive regulation for utilities firms has made the task of setting an adequate cost of equity more difficult. Firstly, Legal Unbundling led to the creation of many legally independent network operators that have to be regulated separately, excluding the generation or sales activities ...