Equity private placements, liquid assets, and firm value

This paper finds wealth enhancement from equity private placement issuances where liquid assets are provided to slack-poor companies. This result runs counter to the expected Jensen's (1986) excess free-cash-flow problem, where the predominant findings of numerous studies include negative wealth effects from externally financed liquidity enhancements. We also find greater announcement-period returns for smaller firms and firms with better recent performance. Investors appear to view either of these factors, together with the private investor’s willingness to provide additional liquidity, as an asymmetric information release on the firm’s viability and likelihood of improved performance.     

Costs of short-term credit for small and large firms

Changes in costs of credit for small and large firms respond differently to economic conditions and the markets are segmented. Costs for small firms are less responsive to changing economic conditions. Small firms borrow via credit card loans and from banks. Dynamic models prove the costs of funds are negative functions of quantities borrowed and positive functions of the Fed funds rate. During recessions, the decline in funds’ prices to large firms is greater than the reductions to small firms. Large firms benefit to a greater extent than small firms when prices of credit are changing.     

Do adjustment costs explain investment-cash flow insensitivity?

In this paper, I explain two “puzzles” that have been observed in firm level data. First, firms that display a high sensitivity of investment to cash flow (commonly believed to be an indicator of liquidity constraints) usually have large unutilized lines of credit which, presumably, could be used to overcome the shortage of funds. Second, firms that are perceived to be extremely liquidity constrained actually show very little sensitivity of investment to cash flow.I show how a dynamic model of firm investment with liquidity constraints and non-convex costs of adjustment of capital can explain these facts. These two features together imply that firms need to have a certain threshold level of financial resources before they can afford to increase investment. Once they cross this threshold, firms’ investment will be positively correlated with their financial resources until they reach their desired level of capital stock. However, even if investment is sensitive to cash flow, firms may borrow below their credit limit to guard against future bankruptcy or binding liquidity constraints.     

Assessing bankruptcy prediction models via information content of technical inefficiency

We use a stochastic frontier model with firm-specific technical inefficiency effects in a panel framework (Battese and Coelli in Empir Econ 20:325–332, 1995) to assess two popular probability of bankruptcy (PB) measures based on Merton model (Merton in J Financ 29:449–470, 1974) and discrete-time hazard model (DHM; Shumway in J Bus 74:101–124, 2001). Three important results based on our empirical studies are obtained. First, a firm with a higher PB generally has less technical efficiency. Second, for an ex-post bankrupt firm, its PB tends to increase and its technical efficiency of production tends to decrease, as the time to its bankruptcy draws near. Finally, the information content about firm’s technical inefficiency provided by PB based on DHM is significantly more than that based on Merton model. By the last result and the fact that economic-based efficiency measures are reasonable indicators of the long-term health and prospects of firms (Baek and Pagán in Q J Bus Econ 41:27–41, 2002), we conclude that PB based on DHM is a better credit risk proxy of firms.     

Empirical evidence on the effects of delisting from the National Market System

This study analyzes empirical evidence related to changes in market value and liquidity characteristics of stocks, which are delisted from the National Market System (NMS) due to an elevation of NMS listing standards. Our results are thus relatively independent of the financial conditions of the firms prior to delisting. We document significant increase in bid-ask spreads and decrease in trading volume after delisting. A significant negative stock price reaction around the delisting announcement period is also observed. Both sets of findings suggest that delisting from NMS increases a firm’s cost of capital by adversely affecting the liquidity of its stock. (JEL: G14)     

The effect of firm financial characteristics and the availability of alternative finance on IPO underpricing

This article tests the hypothesis that the financial characteristics of the issuing firm, along with the availability of alternative sources of financing, are important determinants of the level of underpricing. While risk and its relationship to underpricing have been examined in previous studies, liquidity risk is unique because of its special implications for a firm’s bargaining position with the underwriter. Consistent with my hypothesis, firms with greater liquidity concerns at the IPO experience greater underpricing. On the other hand, firms with higher levels of venture capital funding and/or debt financing are more fully priced.     

有效价差的极大似然估计

有效价差是刻画金融资产交易成本的一种重要度量。本文基于Roll的价格模型,利用对数价格极差分布的近似正态特征,提出了一种有效价差的近似极大似然估计,并通过数值模拟比较了这一新的估计与以往文献中提出的Roll的协方差估计、贝叶斯估计以及High-Low估计在各种不同状况下的精度。模拟的结果表明,无论是在连续交易的理想状态还是交易不连续且价格不能被完全观测到的非理想状态下,极大似然估计和High-Low估计的精度均高于协方差和贝叶斯估计;当波动率相对较小的时候,极大似然估计的精度优于High-Low估计;另外,在非理想情形下,极大似然估计要比High-Low估计更加稳健。     

Extracting a common stochastic trend: Theory with some applications

This paper investigates the statistical properties of estimators of the parameters and unobserved series for state space models with integrated time series. In particular, we derive the full asymptotic results for maximum likelihood estimation using the Kalman filter for a prototypical class of such models—those with a single latent common stochastic trend. Indeed, we establish the consistency and asymptotic mixed normality of the maximum likelihood estimator and show that the conventional method of inference is valid for this class of models. The models we explicitly consider comprise a special–yet useful–class of models that may be employed to extract the common stochastic trend from multiple integrated time series. Such models can be very useful to obtain indices that represent fluctuations of various markets or common latent factors that affect a set of economic and financial variables simultaneously. Moreover, our derivation of the asymptotics of this class makes it clear that the asymptotic Gaussianity and the validity of the conventional inference for the maximum likelihood procedure extends to a larger class of more general state space models involving integrated time series. Finally, we demonstrate the utility of this class of models extracting a common stochastic trend from three sets of time series involving short- and long-term interest rates, stock return volatility and trading volume, and Dow Jones stock prices.     

Forecasting economic and financial variables with global VARs

This paper considers the problem of forecasting economic and financial variables across a large number of countries in the global economy. To this end a global vector autoregressive (GVAR) model, previously estimated by Dees, di Mauro, Pesaran, and Smith (2007) and Dees, Holly, Pesaran, and Smith (2007) over the period 1979Q1–2003Q4, is used to generate out-of-sample forecasts one and four quarters ahead for real output, inflation, real equity prices, exchange rates and interest rates over the period 2004Q1–2005Q4. Forecasts are obtained for 134 variables from 26 regions, which are made up of 33 countries and cover about 90% of the world output. The forecasts are compared to typical benchmarks: univariate autoregressive and random walk models. Building on the forecast combination literature, the effects of model and estimation uncertainty on forecast outcomes are examined by pooling forecasts obtained from different GVAR models estimated over alternative sample periods. Given the size of the modelling problem, and the heterogeneity of the economies considered–industrialised, emerging, and less developed countries–as well as the very real likelihood of possibly multiple structural breaks, averaging forecasts across both models and windows makes a significant difference. Indeed, the double-averaged GVAR forecasts perform better than the benchmark competitors, especially for output, inflation and real equity prices.     

Changes in the liquidity of closed-end country funds after the introduction of World Equity Benchmarks

In 1996, the first exchange-traded funds (ETFs) designed to track a subset of the Morgan Stanley Capital International country indices were approved under the name World Equity Benchmarks (acronym “WEBS”™). We examine the impact of early WEBS-trading on the liquidity of corresponding closed-end country funds (CECFs), previously one of the main avenues for retail investors to achieve country-specific equity exposure. We document a decline in both the trading volume and the trading frequency for CECFs, suggesting that some investors migrate to WEBS. At the same time, the market depth for CECFs increases and the bid-ask spread for CECFs decreases following the introduction of WEBS. Our results support the hypothesis that despite the decline in volume and trading frequency, the liquidity of CECFs is favorably affected by the advent of WEBS.     

The effects of listing changes between NASDAQ market segments

This study analyzes the effects of listing changes within NASDAQ market segments during the period of 1998 to 2005. We find that firms phased up from the NASDAQ Small Capital Market (SmallCap) to the NASDAQ National Market (NNM) experienced significant declines in bid-ask spreads, the volatility of returns, and the probability of informed trading, and firms that phased down from NNM to the SmallCap experienced decreases in bid-ask spreads, but insignificant changes in the volatility of returns and the probability of informed trading. We also estimate simultaneous equations models of bid-ask spreads, return volatility, and trading volume for both groups of firms. The results confirm that improved liquidity is associated with the listing changes for the phase-up firms. However, the simultaneous equations model suggests that the decreases in bid-ask spreads for the phase-down firms are caused by the changes in share prices.     

基于CCA模型的信用风险定价分析与实证研究

信用风险一直是银行和其他金融机构关心的主要话题。对待信用风险的传统方法是由信用风险部门根据过去的数据进行统计估计。然而,在最近几年,随着金融市场的迅速发展以及金融工具的日益复杂化,这种方法已经显得无法适应了。从最广义的风险说起,把讨论范围逐渐缩小,最后缩小至信用风险的定价问题。通过Merton模型对信用风险定价过程作一般性推导,同时给出一个例子以便掌握运用这种方法。     

Recent developments in financial economics and econometrics: An overview

Research papers in empirical finance and financial econometrics are among the most widely cited, downloaded and viewed articles in the discipline of Finance. The special issue presents several papers by leading scholars in the field on “Recent Developments in Financial Economics and Econometrics”. The breadth of coverage is substantial, and includes original research and comprehensive review papers on theoretical, empirical and numerical topics in Financial Economics and Econometrics by leading researchers in finance, financial economics, financial econometrics and financial statistics. The purpose of this special issue on “Recent Developments in Financial Economics and Econometrics” is to highlight several novel and significant developments in financial economics and financial econometrics, specifically dynamic price integration in the global gold market, a conditional single index model with local covariates for detecting and evaluating active management, whether the Basel Accord has improved risk management during the global financial crisis, the role of banking regulation in an economy under credit risk and liquidity shock, separating information maximum likelihood estimation of the integrated volatility and covariance with micro-market noise, stress testing correlation matrices for risk management, whether bank relationship matters for corporate risk taking, with evidence from listed firms in Taiwan, pricing options on stocks denominated in different currencies, with theory and illustrations, EVT and tail-risk modelling, with evidence from market indices and volatility series, the economics of data using simple model free volatility in a high frequency world, arbitrage-free implied volatility surfaces for options on single stock futures, the non-uniform pricing effect of employee stock options using quantile regression, nonlinear dynamics and recurrence plots for detecting financial crisis, how news sentiment impacts asset volatility, with evidence from long memory and regime-switching approaches, quantitative evaluation of contingent capital and its applications, high quantiles estimation with Quasi-PORT and DPOT, with an application to value-at-risk for financial variables, evaluating inflation targeting based on the distribution of inflation and inflation volatility, the size effects of volatility spillovers for firm performance and exchange rates in tourism, forecasting volatility with the realized range in the presence of noise and non-trading, using CARRX models to study factors affecting the volatilities of Asian equity markets, deciphering the Libor and Euribor spreads during the subprime crisis, information transmission between sovereign debt CDS and other financial factors for Latin America, time-varying mixture GARCH models and asymmetric volatility, and diagnostic checking for non-stationary ARMA models with an application to financial data.     

R&D strategy and Australian manufacturing industry: an empirical investigation of emphasis and effectivness

This research investigates the degree of emphasis placed by the Australian manufacturing industry on Research and Development (R&D) strategy as well as on other organisational strategies such as marketing, HRs (HR), technology, and operations at the functional level. The research extends further to investigate whether the emphasis on R&D strategy differs with contextual factors such as firm size, firm’s generic strategy, type of market, firm’s life cycle stage, etc. A mail survey was carried out to collect information from manufacturing firms across Australia. This was followed by an on-site interview of some of the senior managers of manufacturing firms from three Australian states: South Australia, Victoria and New South Wales.The study found that although the emphasis on R&D strategy has received a high priority in the past few years, it has not been as effective as the operations strategy and the technology strategy. The operations strategy has been accorded the highest importance in the past few years and this will continue in the future. The study also indicated that firms, which adopt a differentiation generic strategy, put more emphasis on R&D than the firms, which adopt cost leadership and focus generic strategies. The results did not indicate any evidence of a relationship between firm size and the R&D strategy although large firms are found to put more emphasis on operations and marketing strategies. Relatively higher emphasis was placed on the R&D strategy by businesses: at the growth stage; involved in the manufacture of consumer goods as opposed to industrial goods; involved in exports with a higher sales growth in export markets; and having a higher growth rate relative to their industry.     

Spatial competition,concentration and welfare

This paper gives the general conditions under which the firm's f.o.b. mill price may rise or fall due to spatial separation of buyers and/or spatial entry of rival firms. Several theorems are proposed concerning the fundamental mechanism underlying certain paradoxical implications of two orthodox spatial competition models. A third alternative model of competition set forth elsewhere is reexamined, and is shown to generate the largest market areas for individual firms, the lowest product prices, and the greatest industry supply — the greatest consumer welfare.     

Import-led technological capability: a comparative analysis of Indian and Indonesian manufacturing firms

This research investigates the critical elements that affect the ability of firms in developing countries to cultivate their technological capability through imported technology. Based on resource-based theory, we propose both internal and external factors contribute to technological capability of the recipient firms. Technology planning and control, market orientation, training and number of technical manpower were the internal factors considered in this study. Government support and national technology infrastructure are the external factors proposed to affect the technological capability of firm. Data collected from Indian and Indonesian manufacturing firms reveals that R&D investment, and availability of technical personnel; the transfer channels; government’s involvement; and the firm’s learning culture are significant contributors to the technology capability process. Also, the acquisition of mature technology just to boost production capacity or improve product quality contributes very little to the development of technological capability.     

The role of banking regulation in an economy under credit risk and liquidity shock

This paper develops a Dynamic Stochastic General Equilibrium model which includes a financial sector to analyze the effects of liquidity shock and credit risk in the Brazilian economy. Banks use equity capital and deposits from agents to finance investments of the productive sector. The sources of financial frictions are default rate and liquidity shock, due to deposits withdrawn in advance. The banking supervisor injects liquidity in the deposit market. Using data for the Brazilian economy in the period from 1995 to 2009, the structural parameters are estimated by Bayesian methods. Impulse response functions are computed to describe the dynamic effects of exogenous shocks. The major results show that credit risk is pro-cyclical and default risk depends on structural features. The banking regulator is able to set up a policy to promote financial stability and efficiently reduce fluctuations in the output.     

RATIONAL MODEL OF DECISION MAKING, STRATEGY, AND FIRM PERFORMANCE

The present study tests the proposition that the normative rational model of decision making influences diversification strategy which, in turn, influences the firm’s performance. Questionnaires measuring rational decision making were mailed to 441 large U.S. manufacturing firms with a response rate of 23%. Compustat was used to measure Palepu’s entropy measures of diversification: total, related, and unrelated diversification. The results show a significant positive relationship between top management’s emphasis on rational decision making and diversification as well as a significant negative relationship between diversification and firm performance. Thus, the study shows strong support for the role of diversification strategy as a mediator between rational decision making and firm performance.     

The effectiveness of price-stabilizing share buybacks: Evidence from listed firms in Vietnam

The majority of share buybacks in Vietnam involve the sole stated purpose of price stabilization. Using a sample of repurchases announced in 2008–2016 and control firms based on propensity score matching, we find the Vietnamese repurchases to be effective in stabilizing prices and enhancing liquidity. Utilizing the special disclosure features in Vietnam that allow clearly-defined sub-windows of pre-trading, trading, and post-trading, we further examine the different mechanisms of market reactions and actual firm buyback transactions in the buyback process. We document significantly higher abnormal returns over the pre-trading window driven by market reactions, and improved liquidity and reduced volatility over the firm’s actual transaction window for the buyback firms. We also report a significant moderating effect of target shares announced and actual shares repurchased depending on the sub-window under examination. We do not find any evidence of effectiveness in the post-trading window or over a longer-term beyond the buyback period.