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This study aims to examine the impact of CEO equity-based compensation (EBC) on employee wages. It also examines the impact of EBC on average employee wages in different industries and business cycles.

The authors use pay-performance sensitivity (PPS) to measure for CEO EBC and run OLS models with year and industry dummies. As many firms do not report labor expenses, the authors conduct the two-step analysis as in Heckman (1979) to overcome the potential selection bias.

The authors find that CEOs with higher EBC tend to pay their employees lower wages. They also find that such an impact is more evident in non-technology firms than in technology firms. Finally, they find that CEOs with higher PPS are more likely to depress employee wages when the business cycle shows a downturn.

No study examines the impact of EBC on employee wages directly to date. The authors add to the existing stream of literature regarding employee wages and managerial compensation. Hence, they purport that the findings support existing literature suggesting EBC contributes to, rather than alleviates, the classic agency conflict. Finally, the evidence suggests an unexplored manifestation of that agency conflict and an additional source of CEO rent extraction.

This paper aims to develop hedging strategies using both futures and forward contracts and issuing risky debt when financially constrained firms are forced to operate in long horizon.

The authors present a model for developing hedging strategies using both futures and forward contracts and issuing risky debt. A theoretical model employing stochastic differential equations for forward hedging is illustrated with a numerical example over parameter values consistent with the literature.

A financially constrained firm with limited cash balance must hedge its liquidity with both future and forward contracts and issue risky debt to support its long-term operations. The firm can issue a minimal amount of risky debt by adding forward contracts into hedging and can increase its value higher than that when hedging with only futures contracts. We show numerically that hedging with both futures and forward contracts allows the firm to issue minimal risky debt in increasing its firm value.

When Metallgesellschaft nearly collapsed in 1993, it offered long-term forward contracts to its customers and attempted to hedge its risk by rolling over series of short-term futures contract. It created the situation of inherent mismatch in maturity structure. A financially constrained firm operating in a long horizon appears to commit its liquidity as long-term forward contracts, which cannot be fully hedged with series of futures contacts. The firm should hedge its liquidity with both futures and forward contracts and avoid liquidation with deadweight costs in its long-term operation.

This is the first study examining hedging strategies with both futures and forward contracts.

This study aims to focus on the profitability of momentum trading in the Korean stock market. More specifically, it aims to conduct an examination of the relationship between momentum returns and idiosyncratic volatility (IVol) to determine whether momentum profits can be explained by IVol.

Portfolios are formed based on their past performance and examine the momentum, or contrarian returns, as the difference between winning and losing portfolios. To confirm that the momentum strategy provides excess returns, the relationship between momentum returns and IVol is studied. The Fama and French three‐factor model is also examined to see whether systematic risk affects momentum profits. Firm size, stock price, and turnover are controlled to determine robustness. Finally, a time‐series relationship between aggregate IVol and momentum profits is investigated.

The paper illustrates that excess returns are obtained from a momentum strategy, not a contrarian strategy, in the Korean stock market. Momentum returns are higher among high IVol stocks, especially high IVol winners. Examining the Fama and French three‐factor model, it is found that momentum returns cannot be explained by systematic risk. The findings are robust after controlling for factors such as firm size, book‐to‐market ratio, and turnover. The paper confirms the effect of IVol on momentum returns by illustrating that a time‐series relationship between momentum returns and aggregate IVol is positive.

This paper is among the first, to the authors' knowledge, to examine the relationship between momentum profits and IVol in the Korean stock market, one of the mature financial markets. The findings in this study can be applied to better understand the sources of gains from the momentum strategy in international stock markets.