Changing economic environments, geopolitical instability, and the explosive growth of emerging markets, compounded by the recent turbulence in the world's capital markets, has posed new challenges for the study of asset pricing. The following study raises questions about the existence (lack of...

We document a strong relation between aggregate corporate investment and direct stock market risk measures. Consistent with the investment-based asset pricing model, the comovement with the proxies for conditional equity premium fully accounts for aggregate investment's predictive power for...

We document a strong relation between aggregate corporate investment and direct stock market risk measures. Consistent with the investment-based asset pricing model, the comovement with the proxies for conditional equity premium fully accounts for aggregate investment's predictive power for...

We present a novel empirical benchmark for analyzing credit risk using “pseudo firms” that purchase traded assets financed with equity and zero-coupon bonds. By no-arbitrage, pseudo bonds are equivalent to Treasuries minus put options on pseudo-firm assets. Empirically, like corporate...

Patented knowledge capital improves transparency of research and development expenditures, converts intangible intellectual property into collateralizable and salable assets, enhances sustained competitive advantage, and lowers future financing risk and growth uncertainties. We conjecture and...

This paper presents evidence suggesting that artificial neural networks approach (ANNs) outperform traditional statistical methods and can forecast equity premiums reasonably well. The study replicates out-of-sample estimates of regression using ANN with economic fundamentals as inputs. The...

Valuing a firm using the discounted cash flow method (DCF) requires the joint determination of the market value of its equity (MVE) together with the equity risk premium (ERP) the firm should earn, since the latter is part of the discount rate used in the calculation of the MVE. This paper...

This paper examine differences between risk-neutral and objective probability densities of future interest rates. The identification and quantification of these differences are important when risk-neutral densities (RNDs), such as option-implied RNDs, are used as indicators of actual beliefs of...

This work is an attempt to estimate the cost of equity capital characteristic among portfolios of companies listed on the Warsaw Stock Exchange in the years 1995-2017. To this end, the classic CAPM is used to estimate the cost of risk. Model tests are based on 252 monthly returns. In order to...

Enhanced machine learning methods provide an encouraging alternative to forecast asset prices by extending or generalizing the possible model specifications compared to conventional linear regression methods. Even if enhanced methods of machine learning in the literature often lead to better...