We look for a forecasting model for private investments in Finland. As explanatory variables, we use different proxies of Tobin's Q and cash flow as well as these series decomposed to different frequency components. The forecasts are produced using OLS and National Accounts and Financial...

This paper discusses the externalities and market failures in cryptocurrency markets. In particular, I highlight the significant environmental externalities created by Proof-of-Work (PoW) cryptocurrencies, the most prominent of which is Bitcoin. The main goals of this paper are to quantify these...

This study proposes a wavelets approach to estimating time-frequency-varying betas in the capital asset pricing model (CAPM) framework. The dynamic of systematic risk across time and frequency is analyzed to investigate stock risk-profile robustness. Furthermore, we emphasize the effect of an...

We look for a forecasting model for private investments in Finland. As explanatory variables, we use different proxies of Tobin's Q and cash flow as well as these series decomposed to different frequency components. The forecasts are produced using OLS and National Accounts and Financial...

We illustrate the efficacy of a discrete wavelet based approach to characterize fluctuations in non-stationary time series. The present approach complements the multifractal detrended fluctuation analysis (MF-DFA) method and is quite accurate for small size data sets. As compared to polynomial...

We apply a recently developed wavelet based approach to characterize the correlation and scaling properties of non-stationary financial time series. This approach is local in nature and it makes use of wavelets from the Daubechies family for detrending purpose. The built-in variable windows in...