Financing behaviour of R&D investment in the emerging markets: the role of alliance and financial system

This paper examines the financing behaviour of research and development (R&D) investments in emerging markets. Drawing on institutional theory and using panel data of generalized methods of moment estimation for a sample of 302 firms from 20 countries during the period 2003–2015, we find that emerging market firms tend to use internal funds for financing R&D investments. Interesting results emerged when the sample was divided as alliance and non‐alliance firms, and bank‐based and market‐based financial systems. The results show that R&D financing behaves differently for alliance and non‐alliance firms. Alliance firms use both internal and external funds for R&D investments, while non‐alliance firms do not use external funds. We also document that a country's financial system influences the choice of available sources of finance. Firms from countries that follow a bank‐based financial system tend to rely on external funds while firms from countries that follow a market‐based financial system depend more on internal funds for financing R&D investments. This study is important as it provides new evidence on financing R&D investments in emerging countries taking into account the institutional arguments of financing choices, and so should guide stakeholders about appropriate sources of R&D financing.     

Stock Option Measures and the Stock Repurchase Decision

The major purposes of this study are two fold. First, we investigate whether or not the dilutive effect from stock options on the denominator of earnings per share is associated with the incurrence of stock repurchases. We use the FASB dilution and the economic dilution as the direct dilution measures and examine their relationship with stock repurchase decision. Second, we explore which of the extant measures of stock options can better explain the incurrence of stock repurchases. Six extant measures of stock options from previous studies are used: (1) the FASB's treasury-stock EPS dilution method, (2) the economic dilution measure based on Core, Guay and Kothari (2002), (3) the number of employee stock option exercises, (4) the number of stock option grants, (5) the number of total stock options outstanding, and (6) the number of exercisable stock options.Using a pooled cross-sectional sample from 1996–2000, we find a positive association between the likelihood of stock repurchases and the FASB dilution as well as the economic dilution in EPS, respectively. Thereby providing support for the undo-dilution hypothesis. The highest incremental explanatory power is found when we add the number of stock options exercisable to the baseline model. However, further analysis does not support the option-funding hypothesis suggested by Kahle (2002). We provide two explanations for why exercisable stock options better explain the stock repurchase decision.     

Trade Reform Dynamics and Technical Efficiency: The Peruvian Experience

Markets around the world are becoming more competitive becauseof changing operating and regulatory environments. One suchchange—the loosening of trade restrictions— is amacroeconomic policy shift that should have a microeconomicimpact on industrial efficiency. Specifically, competitive pressureshould discipline or eliminate inefficient producers. This articleexplores whether or not there is such a dynamic link. It usesa previously unexploited data set to gauge the impact of the1990 Peruvian reform on plant-level technical efficiency. Theresults support the argument that the degree of protection andthe level of efficiency are inversely related.     

Decision‐making capabilities of a hybrid system applied to the auditor's going‐concern assessment

The purpose of this study is to evaluate a hybrid system as a decision support model to assist with the auditor's going‐concern assessment. The going‐concern assessment is often an unstructured decision that involves the use of both qualitative and quantitative information. An expert system that predicts the going‐concern decision has been developed in consultation with partners at three of the Big Five accounting firms. This system is combined with a statistical model that predicts bankruptcy, as a component of the auditor's decision, to form a hybrid system. The hybrid system, because it combines the use of quantitative and qualitative information, has the potential for better prediction accuracy than either the expert system or statistical model predicting separately. In addition, testing of the system provides some insight into the characteristics of firms that experience problems, but do not necessarily receive a going‐concern modification. Further investigation into those firms that have problems could reveal factors that may be incorporated into decision support systems for auditors, in order to improve accuracy and reliability of these decision tools. © 2001 John Wiley & Sons, Ltd.     

How does terrorism measurement matter of state-level of a country? Evidence from Islamic countries

Quality & Quantity - This study attempts to measure the intensity of terrorism in the provinces level of the Islamic economies. The main idea of this study is to quantify the terrorism score at...     

The mixed attribute model in SFAS 133 cash flow hedge accounting: implications for market pricing

In this study, we examine the pricing of cash flow hedge adjustments reported in other comprehensive income (OCICF), under the mixed attribute model in SFAS 133 Accounting for Derivative Instruments and Hedging Activities. Our OCICF pricing investigation integrates empirical research on the derivatives use that gives rise to such mark-to-market adjustments with the accounting information pricing literature. Based on this integration, we generalize mispricing theory for the SFAS 133 mixed attribute model and predict both the direction and magnitude of OCICF pricing. Screening on U.S. multinationals with ex ante exposure to currency risk, we provide evidence of OCICF mispricing in the expected direction, consistent with the notion that SFAS 133 cash flow hedge accounting results in a mixed attribute problem (Gigler et al. in J Account Res 45:257–287, 2007). Moreover, we find that both OCICF gains and losses are inversely related to future cash flows and of the expected magnitude, consistent with our predictions based on valuation theory (for example, Ohlson in Rev Account Stud 4:145–162, 1999). Our results support the Financial Accounting Standards Board’s concern that the SFAS 133 mixed attribute model does not provide the information necessary for investors to understand the net economic effects of derivatives use (FASB in Accounting for financial instruments and revisions to the accounting for derivative instruments and hedging activities. FASB, Norwalk, 2010).     

Detecting volatility persistence in GARCH models in the presence of the leverage effect

Most asset prices are subject to significant volatility. The arrival of new information is viewed as the main source of volatility. As new information is continually released, financial asset prices exhibit volatility persistence, which affects financial risk analysis and risk management strategies. This paper proposes a nonlinear regime-switching threshold generalized autoregressive conditional heteroskedasticity model which can be used to analyse financial data. The empirical results based on quasi-maximum likelihood estimation presented in this paper suggest that the proposed model is capable of extracting information about the sources of volatility persistence in the presence of the leverage effect.     

The long-run impact of Information and Communication Technology on economic output: The case of Australia

This paper investigates the cointegration and causal relationships between Information and Communication Technology (ICT) and economic output in Australia using data for about five decades. The framework used in this paper is the single-sector aggregate production function, which is the first comprehensive approach of this kind to include ICT and non-ICT capital and other factors to examine long-run Granger causality. The empirical evidence points to a cointegration relationship between ICT capital and output, and implies that ICT capital Granger causes economic output and multifactor productivity, as does non-ICT capital.