In investment, particularly in the portfolio management, the risk and returns are two crucial measures in making investment decisions. This paper attempts to provide a brief theoretical explanation with examples on determining the returns and associated risk of shares, and of the portfolio of...

I use option prices to infer real-time moments of stochastic discount factors (SDFs). The moments are estimated, from daily SP 500 index option data, in real time, without relying on past observations. These moments are forward-looking and significantly predict the market excess return. The...

We propose a new methodology for abnormal return detection and correction, and evaluate the economic impacts of outliers on asset allocations with higher-order moments (Cf. Jurczenko et al., 2008). Indeed, extreme returns and outliers greatly affect empirical higher-order moment estimations (Cf....

Defining extreme liquidity as the tail of the illiquidity for all stocks, I propose a direct measure of market-wide extreme liquidity risk and find that it is priced cross-sectionally in the U.S. Between 1973 and 2014, the stocks with low extreme liquidity risk beta earned value-weighted average...

This paper decomposes firm-specific monthly-varying Amihud (2002) illiquidity measure into two components: (i) systematic illiquidity; (ii) idiosyncratic illiquidity. While there is a positive and significant relationship between systematic illiquidity and one-month-ahead stock returns, the...

The problem of return on current assets and return on working capital related to the cost of equity invested in a company is analyzed in this paper. Risk - return and liquidity - profitability trade-offs influence the company’s equilibrium and management decisions. Liquidity is measured by the...

We merge the literature on downside return risk and liquidity risk and introduce the concept of extreme downside liquidity (EDL) risks. The cross-section of stock returns reflects a premium if a stock's return (liquidity) is lowest at the same time when the market liquidity (return) is lowest....

This paper examines the pattern of order aggressiveness, and the determinants of this pattern for institutional and retail brokers in the interval around monetary policy announcements. Utilizing a high-frequency dataset, with broker identifiers for each order submitted on the ASX over the period...

Asset allocation strategies which utilize stop-loss and stop-gain rules may dramatically decrease risk and even increase long-term return relative to passive investing. I introduce an asset allocation strategy which shifts portfolio weights based on simplistic stop rules. The two-asset (S&P...