Money supply,interest rate,liquidity and share prices: A test of their linkage

The money supply impacts on interest rate and liquidity were first proposed in 1961 by Friedman, the late Nobel laureate. The liquidity effect has yet received unanimous empirical support. Also, research interest on liquidity subsided in the 2000s. Using quarterly data over 1960–2011 and simultaneous solution to a system of equations, this paper reports positive liquidity effect from money supply. By extending the system of equations with a liquidity equation and after controlling the effect of earnings, evidence is found of a significant positive effect from liquidity on share prices. Money supply is found to be endogenous as in post Keynesian theory. These findings, obtained after solutions to several econometric deficiencies in prior studies, provide clear verification of the endogenous money supply theory, money effect on liquidity and on the extension of the model for a liquidity effect on asset prices.     

Characteristics and Information Value of Credit Watches

We analyze credit watch and rating actions to better understand the role of credit watches in the credit rating process. We find that watch actions are more frequently prompted by specific, publicly known events than are rating actions. The likelihood that a watch action precedes a rating action varies systematically with proxies for investor demand for credit quality information and the adverse consequences of issuing a rating change prematurely. Credit watches occur more often in response to deterioration in credit quality, and issuers make concerted efforts to address the concerns that prompted down watches. Down watches are less likely than up watches to indicate the direction of the subsequent rating change. Watch announcements are associated with abnormal stock returns, indicating that credit watch actions are significant information events. Our results suggest that credit watches are informative and facilitate the stability of ratings by allowing firms to correct deficiencies and prevent downgrades.     

Speed of convergence to market efficiency: The role of ECNs

Chordia, Roll and Subrahmanyam (2005, CRS) estimate the speed of convergence to market efficiency based on short-horizon return predictability of the 150 largest NYSE firms. We extend CRS to a broad panel of NYSE stocks and are the first to examine the relation between electronic communication networks (ECNs) and the corresponding informational efficiency of prices. Overall, we confirm CRS's result that price adjustments to new information occur on average within 5–15 min for large NYSE stocks. We further show that it takes about 20 min longer for smaller firms to incorporate information into prices. Most importantly, we demonstrate that the speed of convergence to market efficiency is significantly related to the type of trading platform where orders are executed, even after controlling for relative order flows, trading costs, volatility, informational effects, trading conditions, market quality, institutional trading activity, and other firm-specific characteristics. Our findings provide direct answers and insights to issues raised in a recent SEC concept release document.     

Litigation risk,accounting quality,and investment efficiency

This paper examines the moderating effect of litigation risk on the relationship between accounting quality and investment efficiency. We use directors’ and officers’ (D&O) liability insurance as a proxy for litigation risk, accruals quality for accounting quality, and investment cash flow sensitivity for investment efficiency (Biddle & Hilary, 2006; Hovakimian & Hovakimian, 2009). Using Canadian data from 1998 to 2008, we show that firms with higher D&O insurance coverage exhibit lower quality accruals. Moreover, the previously documented negative association between accruals quality and investment cash flow sensitivity is stronger (weaker) when abnormal D&O coverage is low (high), suggesting that the role of accounting quality in facilitating investment efficiency is conditional upon observable litigation risk.     

Liquidity and market efficiency: A large sample study

Chordia et al. (2008, hereafter CRS) examine short horizon return predictability from past order flows of large, actively traded NYSE firms across three tick size regimes and conclude that higher liquidity facilitates arbitrage trading which enhances market efficiency. We extend CRS to a comprehensive sample of all NYSE firms and examine the dynamics between liquidity and market efficiency during informational periods. Our results indicate that although all NYSE firms experience an overall improvement in market efficiency across periods of different tick size regimes, this improvement varies significantly across the portfolios of sample companies formed on the basis of trading frequency, market capitalization, and trading volume. After controlling for these factors, we further document a positive association between a continuous measure of liquidity and market efficiency, and show that this effect is amplified during periods that contain new information, as reflected in high adverse selection component of the bid-ask spread.     

Underwriter reputation,earnings management and the long‐run performance of initial public offerings

This study contributes to the extant literature on the nature of earnings management surrounding initial public offerings (IPOs) by investigating the role of underwriter reputation. We argue that prestigious underwriters will protect their reputation by carefully monitoring and certifying financial information on IPO firms, thereby limiting any potential earnings manipulation. As a result, those IPO firms that are associated with more prestigious underwriters are likely to exhibit substantially less‐aggressive earnings management. Conversely, we find the existence of a negative relationship between earnings management and the post‐offer performance of an IPO firm’s stocks only for those firms associated with less‐prestigious underwriters.     

Predicting issuer credit ratings using a semiparametric method

This paper proposes a prediction method based on an ordered semiparametric probit model for credit risk forecast. The proposed prediction model is constructed by replacing the linear regression function in the usual ordered probit model with a semiparametric function, thus it allows for more flexible choice of regression function. The unknown parameters in the proposed prediction model are estimated by maximizing a local (weighted) log-likelihood function, and the resulting estimators are analyzed through their asymptotic biases and variances. A real data example for predicting issuer credit ratings is used to illustrate the proposed prediction method. The empirical result confirms that the new model compares favorably with the usual ordered probit model.     

Self-managers: Social contexts,personal traits,and organizational commitment

This study adopts self-determination theory to examine a path model that focuses on the effects of charismatic leadership and private self-consciousness on self-management, which in turn, leads to organizational commitment. We articulate that the relationships between self-management and each of charismatic leadership and private self-consciousness represent identified and integrated regulation, respectively. Thus, we test whether the relationship between self-management and private self-consciousness is stronger than that between self-management and charismatic leadership. The hypotheses are tested using data gathered from 981 employees. The result of the stronger path from private self-consciousness to self-management than the one from charismatic leadership is consistent with the literature on flow, organizational change, and followership. Moreover, our result of the mediating effects of self-management provides explanations for the little empirical research on follower processes in leadership effectiveness and on the association between private self-consciousness and organizational commitment.