This paper studies one of the most popular investment themes over recent years, investing in the cannabis industry. In particular, it investigates relationships between investor attention, as proxied by Google Trends, and stock market activities, i.e., return, volatility, and liquidity. To this end, in the empirical analysis we study how liquidity and investors’ attention affect the return dynamics of an investment in cannabis stocks by augmenting the three-factor Fama–French model. In addition, we use a vector autoregressive approach and the impulse response function to measure shock transmission between the variables under consideration. Our empirical findings show that there is a statistically positive relationship between cannabis stock returns and liquidity. We also find that increased investors’ attention results in higher returns.
This paper evaluates the performance of seventeen Greek equity mutual funds before and after the sovereign debt crisis. By being based on the Capital Asset Pricing Model (CAPM), the selectivity and market timing skills of these funds are under scrutiny. This takes place by assigning a linear form to the Beta coefficient and transforming the traditional CAPM equation into a second order polynomial. Results provide evidence of an improvement in selectivity and market timing skills for the majority of these emerging funds after the outburst of the debt crisis and the adoption of measures by Troika. Thereby, the potential of excess profit-making possibilities for capable fund managers in the Greek fund market is enhanced during non-conventional periods in comparison to normal times, even though the Efficient Markets Hypothesis (EMH) still holds.
This paper investigates the hedging effectiveness of the International Index Futures Markets using daily settlement prices for the period 4 January 2010 to 31 December 2015. Standard OLS regressions, Error Correction Model (ECM), as well as Autoregressive Distributed Lag (ARDL) cointegration model are employed to estimate corresponding hedge ratios that can be employed in risk management. The analyzed sample consists of daily closing market rates of the stock market indexes of the USA and the European futures contracts. The findings indicate that the time varying hedge ratios, if estimated through the ARDL model, are more efficient than the fixed hedge ratios in terms of minimizing the risk. Additionally, there is evidence that the comparative advantage of advanced econometric approaches compared to conventional models is enhanced further for capital markets within peripheral EU countries
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