Bank credit risk and credit information sharing in Africa: Does credit information sharing institutions and context matter?

The study examines credit information sharing through private credit bureaus and public credit registries and their effect on bank credit risk in low and high income countries in Africa. The study covers periods between 2006 and 2012 with 548 bank observations in Africa. Employing a Prais-Winsten panel data estimation, the study established that credit information sharing whether through private credit bureaus or public credit registries reduces bank credit risk in both low and high income countries and Africa as a whole. Further analyses reveal that credit information shared through public credit registries was only negatively and significantly related to bank credit risk when all countries that share credit information through public credit registries are observed as one unit but had no significant effect in low or high income countries. On the contrary, credit information shared through private credit bureaus reported a negative and significant effect on credit risk in low and high income countries as well as all countries that shared information through private credit bureaus. This suggests that credit information shared through private credit bureaus are more robust in dealing with bank credit risk regardless of a banks’ income bracket. Hence, countries that do not share credit information should do so especially through private credit bureaus so as to help reduce bank credit risk regardless of the income bracket differences. Again, governments in Africa must enact laws that expand the coverage and scope of credit information shared so as to enhance the effectiveness of information sharing.     

A productivity growth accounting approach to the ranking of developing and developed nations

Productivity growth accounting studies generally focus on productivity growth or decline in more developed countries such as the Organization of Economic Cooperation and Development (OECD) members. In this paper, we develop a generalized efficiency index for a much larger set of 57 national governments (NGs), both developing and developed, by employing four components of gross national product and five resource-availability indicators. Using a Data Envelopment Analysis (DEA) linear-programming approach, we maximize the components of Gross National Product (GNP), subject to minimizing specific resource-input measures. If used with appropriate precautions, the DEA-based comparative production-efficiency measures developed here can be used by individual NGs and international organizations like the World Bank and the International Monetary Fund to make equitable and sustainable lending-allocation decisions in the public and private sectors of the increasingly interdependent global economy.     

Private information flow and price discovery in the U.S. treasury market

Using intraday data, we identify the intensity of private information flow in the U.S. Treasury market. Our results show that the intensity of private information flow is highly correlated with public information shocks and higher for longer maturity bonds. More importantly, we find that bond price changes associated with high intensity of private information flow tend to be persistent, whereas those associated with low intensity of private information flow are more likely reversed. While public information and private information are the main determinants of bond price variations on days with news announcements, private information and liquidity shocks are important determinants of bond price variations on days with no significant events. Finally, we show that the depth of limit order book is inversely related to the intensity of private information flow. Nevertheless, informed dealers do not seem to use hidden orders to disguise their trading intentions.     

IFRS Adoption and the Choice Between Public and Private Debt: Evidence from South Korea

This article examines the association between mandatory International Financial Reporting Standards (IFRS) adoption and corporate choice between public debt and private debt. If IFRS adoption increases the quality of lenders’ information environment provided on financial statements, firms are more likely to access the public debt market. Using a sample of public and private debts financing firms from 2000 to 2014 in Korea, we find that firms that file financial reports under the IFRS are less likely to finance from public debt markets, implying that the mandatory IFRS adoption has exacerbated the information environment of the public debt market in Korea.     

Editorial

This article analyses the ways that Spanish public water companies communicate sustainability information to their stakeholders and explores whether distinctive and more progressive accountability is possible in the public sector in comparison with private sector organizations. Two distinct activities are identified in sustainable accountability: public organizations are engaged in informal as well as formal reporting activity, and their reporting seems to be coupled with real organizational strategies and operational activities.     

Configuring blockchain architectures for transaction information in blockchain consortiums: The case of accounting and supply chain systems

This paper investigates alternative configurations of different blockchain architectures that can be used for gathering and processing transactions in a range of different settings, including accounting, auditing, supply chain and other types of transaction information. Although there has been substantial focus on the peer‐to‐peer and public versions of blockchain, this paper focuses primarily on cloud‐based and private configuration versions of blockchains and investigates use configurations, advantages and limitations as firms bring blockchain‐based market mechanisms into their organizations. In addition, this paper investigates some emerging issues associated with blockchain use in consortium settings. Finally, this paper relates some proposed uses of blockchain for transaction processing to other technologies, such as data warehouses and databases.     

Under weighting of Private Information by Top Analysts

It is conventionally perceived in the literature that weak analysts are likely to under weight their private information and strategically bias their announcements in the direction of the public beliefs to avoid scenarios where their private information turns out to be wrong, whereas strong analysts tend to adopt an opposite strategy of over weighting their private information and shifting their announcements away from the public beliefs in an attempt to stand out from the crowd. Analyzing a reporting game between two financial analysts, who are compensated based on their relative forecast accuracy, we demonstrate that it could be the other way around. An investigation of the equilibrium in our game suggests that, contrary to the common perception, analysts who benefit from information advantage may strategically choose to understate their exclusive private information and bias their announcements toward the public beliefs, while exhibiting the opposite behavior of overstating their private information when they estimate that their peers are likely to be equally informed.     

Being private,Big 4 auditors,and debt raising

This study investigates the role of auditor choice (Big 4/Non-Big 4) in debt financing for private and public firms. We find private firms have less access to debt than public firms, and Big 4 auditors support debt raising in both private and public firms. Consistent with private firms facing greater information asymmetry, Big 4 auditors are more important for debt raising in private firms than in public firms. The benefit of appointing Big 4 auditors for private firms' debt raising is greater in the opaque information environment of the global financial crisis. It is also greater when firms are smaller, younger, or have poorer financial reporting quality. We also find evidence consistent with Big 4 auditors mitigating agency conflicts and enhancing debt raising when ownership concentration is higher in private firms.     

Simultaneous Public and Private Provision of Services, Asymmetric Information and Innovation

Public and private provision of a service coexist. There is asymmetric information between the government and the agency providing the public service with respect to the costs, the quality of the service and the innovation effort of the agency. We examine the optimal government design of the funding contracts to induce the agency to reveal its costs and exert high innovation effort. The optimizing behaviour of consumers and private firms generates observable information, which can be used by the government to reduce its information problem. In the optimal contracts, the informational rents of the agency increase with the level of innovation effort that the government induces from the agency. Correlation between public and the private sector costs results in a trade-off in the government's policy between inducing innovation and extracting the informational rent of the agency. To increase the redistribution inherent in the public provision of the service, the government will manipulate the expected profits of the private firms to induce higher innovation effort.     

Uncertainty triggers overreaction: evidence from corporate takeovers

Behavioural finance models suggest that under uncertainty, investors overweight their private information and overreact to it. We test this theoretical prediction in an M&A framework. We find that under high information uncertainty, when investors are more likely to possess firm-specific information, acquiring firms generate highly positive and significant gains following the announcement of private stock and private cash acquisitions (positive news) while the market heavily punishes public stock (negative news) deals. On the other hand, under conditions of low information uncertainty, when investors do not possess private information, the market reaction is complete (i.e. zero abnormal returns) irrespective of the type of acquisition. Overall, we provide empirical evidence that shows that information uncertainty plays a significant role in explaining short-run acquirer abnormal returns.     

Institutional investor information network,analyst forecasting and stock price crash risk

In this paper, we construct the information network of fund investors based on the theory of social relationship networks and examine its impact of fund information sharing with analysts on stock price crash risk. Our results show that private information sharing among institutional investors reduces crash risk. Further results show that fund information sharing can alleviate analyst optimism bias and improve analyst forecast accuracy, which further reduces stock price crash risk. Moreover, these identified effects are more pronounced in a bull market than a bear market. Our study contributes to the research on private information transmission in fund information networks, and provides a new perspective for recognizing the relationships among institutional investor behavior, analyst forecasting, and stock price crash risk.     

Call it good,bad or no news? The valuation effect of debt issues

Studies investigating market reactions to changes in capital structure aim to find the impact of private information conveyed. However, these studies ignore that financial decisions are not made randomly but are conditional on managers’ private information. Using a sample of U.S. leverage‐increasing public companies with public long‐term debt offerings, we find that debt offerings convey no new information to the markets after considering the conditionality of decisions. We also show that results can be biased if the deterministic role played by private information ex ante is omitted, which may explain the conflicting valuation evidence found in the literature.     

Does the effect of revealed private information on initial public offering (IPO) first trading day return differ by IPO market heat?

By IPO market regime, I decompose the effect of revealed private information on the initial return of IPOs (initial public offerings) into adjusted and unadjusted private information and find (i) investment banks partially adjust the offer price in return for revealed private information in all but the non‐hot IPO market; (ii) the economic importance of private information associated with IPOs (and hence agency costs) is procyclical; and (iii) industry information spillovers between IPOs occur only in the hot and very‐hot IPO markets.     

Central Bank Transparency and the Crowding Out of Private Information in Financial Markets

We use an asset market model based on Diamond (1985) to demonstrate that increased central bank transparency may lead to crowding out of costly private information, which can result in a market that is less able to predict monetary policy. Consequently, for intermediate levels of public information precision, it is optimal for the central bank to actually disclose less than it knows. We show that such crowding out can occur, even in the likely scenario that public information is more precise than private information, under the plausible assumption that traders are nearly risk neutral. Central banks should be aware of possible adverse effects of transparency and take note if market participants reduce investment in information.     

Audit quality and properties of analysts’ information environment

We consider how audit quality impacts sell‐side analysts’ information environment. Using the method outlined by Barron et al., we examine whether higher audit quality is associated with differences in the weight analysts place on common information relative to private information, as well as the extent to which audit quality separately impacts the precision of analysts’ private and common information. Our results show that, in instances where analysts revise their earnings forecasts for year t+1 shortly after the release of year t earnings, higher audit quality results in analysts placing more weight on public information. The precision of private (as well as public) information is improved. These results extend our understanding of how audit quality impacts on attributes of analysts’ forecasts and provides support for the argument that audit quality has important capital market implications.     

Geographic earnings disclosure and trading volume

Beginning with Statement of Financial Accounting Standards No. 131 (SFAS 131), Disclosures about Segments of an Enterprise and Related Information, most US multinational firms no longer disclose geographic earnings in their annual reports. Given the recent growth in foreign operations of US firms and the varying operating environments around the world, information (or lack thereof) related to geographical performance can affect investors’ information set. Using empirical tests that closely follow the [Kim, O., Verrecchia, R., 1997. Pre-announcement and event-period private information. Journal of Accounting and Economics 24, 395–419] model, we find results consistent with their predictions. Specifically, using a sample of firms with substantial foreign operations, we find evidence of a decrease in event period private information following adoption of SFAS 131 for firms that no longer disclose geographic earnings. These results suggest that decreased public information (i.e., non-disclosure of geographic earnings) reduces the ability of investors to utilize or generate private information in conjunction with the public announcement of quarterly earnings, which dampens trading. We also find evidence of a decrease in pre-announcement private information following adoption of SFAS 131. This is consistent with an overall improvement in public disclosures that has the effect of reducing differences in the precision of private information across investors in the period prior to the earnings announcement. However, such an effect is observed for both firms which no longer disclose geographic earnings and for firms that continue to disclose geographic earnings.     

The monetary origins of asymmetric information in international equity markets

Existing studies using low-frequency data have found that macroeconomic shocks contribute little to international stock market covariation. However, these papers have not accounted for the presence of asymmetric information where sophisticated investors generate private information about the fundamentals that drive returns in many countries. In this paper, we use a new microstructure data set to better identify the effects of private and public information shocks about U.S. interest rates and equity returns. High-frequency private and public information shocks help forecast domestic money and equity returns over daily and weekly intervals. In addition, these shocks are components of factors that are priced in a model of the cross-section of international returns. Linking private information to U.S. macroeconomic factors is useful for many domestic and international asset-pricing tests.     

The influence of culture and transparency on global research and development intensity: An overview across Europe

Culture and transparency can be described as a set of beliefs, norms, and actions, which drive the human action into innovativeness. Over the centuries, those pillars have driven individuals, groups, organizations, and nations, into the most complex networking schemes. It seems now unquestionable that those beliefs and policies, affect both private and public organizations, driving them across innovation wages in a more incremental or radical way. The dependent variable in this research (R&D) embodies the disbursements in research and development, carried out by business enterprise and public sector, and by education institutions. Thus, this research aims to mainly explore the effect of culture and transparency, as drivers of business attractiveness, on global R&D intensity. Using information from 31 European countries over the period 2010–2014, total R&D expenditures were regressed against several variables such as the Hofstede's cultural dimensions, the public sector transparency index, and other aggregated variables. Most of the theoretical assumptions are now supported by our empirical outcomes. Culture and transparency can act as attractiveness drivers, for business sector organizations and for other private and public institutions, toward the implementation of knowledge transformation mechanisms and intellectual capital achievements.     

Risk assessment for public–private partnership projects: using a fuzzy analytic hierarchical process method and expert opinion in China

Public–private partnerships (PPP) have been widely used in China to procure public facilities and services. Complicated problems in PPP projects in China arise because of a variety of risk factors. A proper risk assessment model is needed to identify risks and provide risk response strategies for future Chinese PPP projects. The fuzzy analytic hierarchy process (F-AHP) method provides the ability to solve complex risk assessment of PPP projects. Current risk assessment models are limited to PPP projects in specific countries and do not consider unique risks in China, especially political, economic, social, and legal risks. This paper designed a risk evaluation index system for PPP projects based on the Delphi expert investigation method, and then established an optimized risk evaluation model for PPP projects in China using the F-AHP method. The risks identified are confirmed by interviewing experts from Chinese local government departments, private enterprise, third-party intermediary consulting and regulatory agencies, and academic organizations. The results show that the risks that ranked among the top ten are closely related to China’s political and economic policies and relationships among stakeholders. It can be concluded that government authorities play a critical role in providing a favorable political, social, and economic environment and an effective institutional framework for PPP projects. Furthermore, it is also important to deal with relationships among stakeholders based on the public–private ‘win–win’ principle. This study provides risk response strategies, addressing key issues from eight aspects: an impeccable legal and regulatory framework; a central coordinating and regulating PPP authority; supportive governmental authorities; institutional capacity-building; favorable economic conditions and viability; community, partner, and moral accountability; clear division of responsibilities through contracts; and effective advisory management. These effective measures may be useful in reducing the adverse effects of risk for PPP projects in China.     

交易透明度对证券场外交易信息效率的影响

黑池交易系统（Dark Pools）是美国近年发展较快的非公开交易平台, 其信息透明度较低,可提供匿名交易的服务,并由此实现信息的非公开传递。通过扩展后验信念收敛速率的模型来描述不同交易透明度下场外市场的信息显示速率, 发现私人信息与公共信息共存有利于信息更快地显示,因而私人信息渠道与公共信息渠道共存有利于提升信息效率,由此解释了非公开交易平台的价值,也为我国场外市场的分层发展提供可行建议.