“We do what we must,and call it by the best names”: Can deliberate names offset the consequences of organizational atypicality?

Research summary: This article focuses on organizational naming as a strategic choice organizations make to overcome liabilities of atypicality. We argue that, in markets presenting an “illegitimacy discount,” atypical organizations may use deliberate names—names that communicate the market categories to which organizations claim membership—to offset the consequences of atypicality. Using data from the global hedge fund industry, we show that atypical hedge funds are more likely than typical funds to have deliberate names. Importantly, the selection of a deliberate name is economically significant. First, funds with deliberate names grow faster than funds without deliberate names, especially among atypical funds. Second, while atypicality heightened the likelihood of failure during the recent financial crisis—even after controlling for fund performance—having a deliberate name mitigated this effect. Managerial summary: Differentiation is a core element of many organizations' competitive advantage. Nevertheless, as differentiation implies being atypical among one's competitors, differentiation strategies can also lead to an “illegitimacy discount” whereby differentiators are at risk of being misunderstood, miscategorized, and ignored by consumers. Here we investigate how atypical hedge funds—funds that differentiate themselves from their competitors by investing in notably unique ways—use names to offset the potential consequences associated with the “illegitimacy discount.” Our analysis of more than 12,000 hedge funds over 12 years highlighted a trend whereby atypical hedge funds were more likely to choose names that unambiguously associated them with a known investment strategy—for instance, choosing the name “Apex Global Macro Capital” over simply “Apex Capital.” Importantly, name selection proved to be economically significant. For example, among atypical hedge funds, those with unambiguous names grew faster than those without. Furthermore, while being atypical increased the level of disinvestment during the recent financial crisis, having an unambiguous name reversed this effect. Organizational names play an important communication role with consumers, which, while highly symbolic, may also help resolve the dual organizational need to both conform to consumer expectations and differentiate from market competitors. Copyright © 2015 John Wiley & Sons, Ltd.     

Modeling Time-Varying Correlations in Volatility Between BRICS and Commodity Markets

This article investigates the asymmetric and long memory volatility properties and dynamic conditional correlations (DCCs) between Brazilian, Russian, Indian, Chinese, and South African (BRICS) stock markets and commodity (gold and oil) futures markets, using the trivariate DCC-fractionally integrated asymmetric power autoregressive conditional heteroskedasticity (FIAPARCH) model. We identify significant asymmetric and long memory volatility properties and DCCs for pairs of BRICS stock and commodity markets, and variability in DCCs and Markov Switching regimes during economic and financial crises. Finally, we analyze optimal portfolio weights and time-varying hedge ratios, demonstrating the importance of overweighting optimal portfolios between BRICS stock and commodity assets.     

The Chinese specialties of A-share accrual anomaly

This paper extends the work of SONG （2008） and finds a significantly positive relation between hedge returns from accrual anomaly and market returns for Chinese A-share market. Since market returns in Chinese well-known ＂policy market＂ is more volatile than those in USA, the hedge risks in China are higher than those in USA. Additionally, higher transaction costs and one-direction trading system also prevent investors in Chinese A-share market from arbitraging on accrual anomaly.     

Quadratic hedging schemes for non-Gaussian GARCH models

We propose different schemes for option hedging when asset returns are modeled using a general class of GARCH models. More specifically, we implement local risk minimization and a minimum variance hedge approximation based on an extended Girsanov principle that generalizes Duan׳s (1995) delta hedge. Since the minimal martingale measure fails to produce a probability measure in this setting, we construct local risk minimization hedging strategies with respect to a pricing kernel. These approaches are investigated in the context of non-Gaussian driven models. Furthermore, we analyze these methods for non-Gaussian GARCH diffusion limit processes and link them to the corresponding discrete time counterparts. A detailed numerical analysis based on S&P 500 European call options is provided to assess the empirical performance of the proposed schemes. We also test the sensitivity of the hedging strategies with respect to the risk neutral measure used by recomputing some of our results with an exponential affine pricing kernel.     

关于中国铝期货市场套期保值绩效的实证研究

套期保值是企业利用期货市场进行风险控制的重要过程。利用金融衍生产品进行风险管理的关键问题是确定套期保值比率。通过对中国沪铝期货套期保值绩效的实证研究发现基于DVECH-GARCH的动态套期保值比基于OLS的静态套期保值避险效果好。选择一定的套保模型进行对冲交易,铝加工企业能够有效地分散铝现货的市场风险,稳定企业生产经营。     

Property returns and inflation

Summary

This study investigates the hedging characteristics of property investments. We follow the methodology established in the finance literature by distinguishing between expected and unexpected inflation. The results provide support for the view that property provides a partial hedge against inflation.     

Do Corporate Governance Motives Drive Hedge Fund and Private Equity Fund Activities?

We document empirical evidence that both hedge fund (HF) and private equity fund (PE) investments are driven by corporate governance improvements, but address different types of agency conflicts. Whereas HFs focus on firms without a controlling shareholder, in particular family shareholders, PEs invest in firms with low managerial ownership. Both appear to address free cash flow problems differently. Aiming at increasing dividends, HFs tend to use commitment devices that can be implemented over a short horizon. PEs are inclined to longer‐term strategies: they target firms that are particularly well suited for leverage increases because of low expected financial distress costs.     

Hedging role of stablecoins

Wild price fluctuations of cryptocurrencies make it difficult for investors to maintain stable asset values. This study investigates the hedging properties of US dollar (USD)-pegged stablecoins against bitcoin returns. We analyzed the hedging abilities of the three largest stablecoins—namely, Tether, USD Coin, and Binance USD—using the dynamic conditional correlation–generalized autoregressive conditional heteroskedasticity, dummy variable regression, vector autoregression, and impulse response functions. We found that stablecoins are generally negatively correlated with bitcoin returns, indicating that they can be effective hedging instruments against high-volatility crypto assets. Among the stablecoins, Binance USD offers the largest risk reduction, and Tether was a weak safe haven during the COVID-19 crisis period. Crypto investors can diversify their portfolios by holding stablecoins.     

Is the cryptocurrency market a hedge against stock market risk? A Wavelet and GARCH approach

This study analyses six major cryptocurrencies and four global stock markets to explore the role of cryptocurrencies as a hedge, safe haven, and diversifier in stock markets. The study employs ADCC-GARCH and Wavelet Coherence Technique, using daily data from 4 January 2017 to 28 February 2023. The study has found that stock returns and unstable cryptocurrency returns have high volatility persistence in the long run. Besides, while unstable digital currencies (Bitcoin, Ethereum, Binance Coin, and Dogecoin) serve as a hedge during stable economic periods, they have not been a hedge during economic turmoil in the stock markets. Conversely, stablecoins (Tether and USD Coin) have been shown to have acted as a hedge during normal economic times and have offered a safe haven during economic downturns. Except for Tether, all cryptocurrencies' diversification capacity is time-varying. In stable economic conditions, they serve as diversifiers, but during turmoil, they do not. However, Tether serves as a diversifier regardless of the financial situation. Finally, the present investigation is expected to offer crucial information on hedge, safe haven and diversification for quasi-investors.     

Risk Measures for Hedge Funds: a Cross‐sectional Approach

This paper analyses the risk‐return trade‐off in the hedge fund industry. We compare semi‐deviation, value‐at‐risk (VaR), Expected Shortfall (ES) and Tail Risk (TR) with standard deviation at the individual fund level as well as the portfolio level. Using the Fama and French (1992) methodology and the combined live and defunct hedge fund data from TASS, we find that the left‐tail risk captured by Expected Shortfall (ES) and Tail Risk (TR) explains the cross‐sectional variation in hedge fund returns very well, while the other risk measures provide statistically insignificant or marginally significant results. During the period between January 1995 and December 2004, hedge funds with high ES outperform those with low ES by an annual return difference of 7%. We provide empirical evidence on the theoretical argument by Artzner et al. (1999) that ES is superior to VaR as a downside risk measure. We also find the Cornish‐Fisher (1937) expansion is superior to the nonparametric method in estimating ES and TR.