Financial Performance Adjustment in English Local Governments

This paper analyses financial performance adjustment in English local governments and the specific accruals used to achieve it. Based on statistical approaches used in previous literature, our results indicate the use of abnormal accruals in English local governments in order to report surpluses/deficits close to zero as well as to avoid reporting big deficits. We find that depreciation and impairment expense of fixed assets is the item most significantly related to abnormal accruals. Consistent with the conservatism theory, local governments with higher leverage use more income‐decreasing accounting policies.     

IDENTIFYING THE MODERATOR FACTORS OF FINANCIAL PERFORMANCE IN GREEK MUNICIPALITIES

The use of financial ratios is a widespread method for assessing the financial performance of private sector companies. However, the application of an analogous exercise in the public sector is a less straightforward one. In the later case it is a multifaceted task that involves judgments about the interplay of complex social, organizational and financial factors. In this paper we use accrual end of the year financial statements data of Greek Municipalities for the period 2002–2004 to compute nine commonly used performance assessment financial ratios. We find corroborative evidence that factors, which are exogenous to the municipalities’ control, such as their wealth and size, have statistically significant impact on ratio values. Thus, as financial ratios are significantly influenced by socio‐economic factors like municipal wealth and size, cross sectional comparisons on the basis of these ratios should be made with caution and performed for municipalities that exhibit similarities in terms of size and wealth.     

The Role of Financial Incentives in Balanced Scorecard‐Based Performance Evaluations: Correcting Mood Congruency Biases

Moods are low‐intensity affective states that individuals bring to a decision, and may be especially important when the balanced scorecard (BSC) is used for performance evaluation purposes. We propose that financial incentives can motivate decision‐makers to correct mood congruency biases, in which judgments and decisions are consistent with moods. In experiment 1, participants rated the performance of one division manager based on two accounting measures and another manager based on a 16‐measure BSC; there were mood congruency biases at both levels of information load. Financial incentives to make benchmark‐consistent judgments eliminated bias in the former condition but not in the BSC condition. In experiment 2, incentives were offered and performance evaluations were based on an eight‐measure BSC; mood congruency bias was eliminated. Results suggest that management control systems, specifically financial incentives, should be included in future affect correction research.     

Banks’ Financial Reporting and Financial System Stability

The use of accounting measures and disclosures in banks’ contracts and regulation suggests that the quality of banks’ financial reporting is central to the efficacy of market discipline and nonmarket mechanisms in limiting banks’ development of debt and risk overhangs in economic good times and in mitigating the adverse consequences of those overhangs for the stability of the financial system in downturns. This essay examines how research on banks’ financial reporting, informed by the financial economics literature on banking, can generate insights about how to enhance the stability of the financial system. We begin with a foundational discussion of how aspects of banks’ accounting and disclosures may affect stability. We then evaluate representative papers in the empirical literature on banks’ financial reporting and stability, pointing out the research design issues that empirical accounting researchers need to confront to develop well‐specified tests able to generate reliably interpretable findings. To this end, we provide examples of settings amenable to addressing these issues. We conclude with considerations for accounting standard setters and financial system policy makers.     

Earnings Quality Measures and Excess Returns

This paper examines how commonly used earnings quality measures fulfill a key objective of financial reporting, i.e., improving decision usefulness for investors. We propose a stock‐price‐based measure for assessing the quality of earnings quality measures. We predict that firms with higher earnings quality will be less mispriced than other firms. Mispricing is measured by the difference of the mean absolute excess returns of portfolios formed on high and low values of a measure. We examine persistence, predictability, two measures of smoothness, abnormal accruals, accruals quality, earnings response coefficient and value relevance. For a large sample of US non‐financial firms over the period 1988–2007, we show that all measures except for smoothness are negatively associated with absolute excess returns, suggesting that smoothness is generally a favorable attribute of earnings. Accruals measures generate the largest spread in absolute excess returns, followed by smoothness and market‐based measures. These results lend support to the widespread use of accruals measures as overall measures of earnings quality in the literature.     

Corporate diversification and shareholder value: a survey of recent literature

We survey the recent developments in the literature on corporate diversification. This literature is voluminous, diverse, and quite old. To make the task more manageable, we focus our attention on recent contributions to that subset of the diversification literature that is in our judgment most influential in setting the agenda for financial research. The study of diversification at the corporate level can be grouped into one of two bodies of literature: cross-sectional studies of the link between corporate diversification and firm value (i.e., the diversification discount) and longitudinal studies of patterns in corporate diversification through time. The prevailing wisdom among financial economists throughout much of the last decade has been that diversified firms sell at a discount and that the level of corporate diversification has been trending downward. However, recent research questions both these tenets and a number of studies now suggest that the diversification discount is either not due to diversification at all, or may be a result of improper measurement techniques. Furthermore, some researchers are now beginning to argue that previous attempts to assess changes in the levels of corporate diversification through time is also flawed as a result of biases built into the compustat database in combination with the use of noisy proxies for corporate diversification.     

In-sample vs. out-of-sample tests of stock return predictability in the context of data mining

We undertake an extensive analysis of in-sample and out-of-sample tests of stock return predictability in an effort to better understand the nature of the empirical evidence on return predictability. We find that a number of financial variables appearing in the literature display both in-sample and out-of-sample predictive ability with respect to stock returns in annual data covering most of the twentieth century. In contrast to the extant literature, we demonstrate that there is little discrepancy between in-sample and out-of-sample test results once we employ out-of-sample tests with good power. While conventional wisdom holds that out-of-sample tests help guard against data mining, Inoue and Kilian [Inoue, A., Kilian, L., 2004. In-sample or out-of-sample tests of predictability: which one should we use? Econometric Reviews 23, 371–402.] recently argue that in-sample and out-of-sample tests are equally susceptible to data mining biases. Using a bootstrap procedure that explicitly accounts for data mining, we still find that certain financial variables display significant in-sample and out-of-sample predictive ability with respect to stock returns.     

Accounting conservatism and corporate social responsibility

We examine the association between accounting conservatism, expressed in the form of asymmetric timeliness of recognition of economic gains and losses, and corporate social responsibility (CSR). We provide evidence that, under unfavorable macroeconomic conditions and financial constraints, as well as increased levels of outside pressure from debtholders and equity holders, catering for capital providers through conservative reporting becomes a managerial priority over engagement in CSR. Our results overall indicate that, for our whole sample period (starting in the early 2000s), higher levels of conservatism are negatively associated with a CSR orientation shown by firms; however, our analysis also indicates a significant reversing trend regarding the effect of conservatism on CSR, coinciding with the post-financial-crisis period. The findings are robust to a number of specifications and tests, including the use of an instrumental variable approach explicitly addressing endogeneity biases related to reverse causality concerns. Our study suggests that, under monitoring pressure from financial stakeholders, firms prioritize commitment to accounting conservatism over the needs of non-financial stakeholders and other interest groups.     

Interest Rate Risk and Equity Values of Life Insurance Companies: A GARCH–M Model

The importance of managerial decisions related to interest‐sensitive cash flows has received considerable attention in the insurance literature. Consistent with the interest‐sensitive nature of insurer assets and liabilities, empirical research has shown that insurer insolvency is significantly related to interest rate volatility. We investigate the interest rate sensitivity of monthly stock returns of life insurers based on a generalized autoregressive conditionally heteroskedastic in the mean (GARCH–M) model. We examine three different portfolios (equally weighted, risk‐based, and size‐based) with binary variables to explicitly account for varying interest rate strategies adopted by the Federal Reserve System. Results based on data for the period 1975 through 2000 indicate that life insurer equity values are sensitive to long‐term interest rates and that interest sensitivity varies across subperiods and across risk‐based and size‐based portfolios. The results complement insolvency research that links insurer financial performance to changes in interest rates.     

Internal Capital Markets and Capital Structure: Bank Versus Internal Debt

We argue that domestic business groups are able to actively optimise the internal/external debt mix across their subsidiaries. Novel to the literature, we use bi‐level data (i.e. data from both individual subsidiary financial statements and consolidated group level financial statements) to model the bank and internal debt concentration of non‐financial Belgian private business group affiliates. As a benchmark, we construct a size and industry matched sample of non‐group affiliated (stand‐alone) companies. We find support for a pecking order of internal debt over bank debt at the subsidiary level which leads to a substantially lower bank debt concentration for group affiliates as compared to stand‐alone companies. The internal debt concentration of a subsidiary is mainly driven by the characteristics of the group's internal capital market. The larger its available resources, the more intra‐group debt is used while bank debt financing at the subsidiary level decreases. However, as the group's overall debt level mounts, groups increasingly locate bank borrowing in subsidiaries with low costs of external financing (i.e. large subsidiaries with important collateral assets) to limit moral hazard and dissipative costs. Overall, our results are consistent with the existence of a complex group wide optimisation process of financing costs.     

A neural network enhanced volatility component model

Volatility prediction, a central issue in financial econometrics, attracts increasing attention in the data science literature as advances in computational methods enable us to develop models with great forecasting precision. In this paper, we draw upon both strands of the literature and develop a novel two-component volatility model. The realized volatility is decomposed by a nonparametric filter into long- and short-run components, which are modeled by an artificial neural network and an ARMA process, respectively. We use intraday data on four major exchange rates and a Chinese stock index to construct daily realized volatility and perform out-of-sample evaluation of volatility forecasts generated by our model and well-established alternatives. Empirical results show that our model outperforms alternative models across all statistical metrics and over different forecasting horizons. Furthermore, volatility forecasts from our model offer economic gain to a mean-variance utility investor with higher portfolio returns and Sharpe ratio.     

Twenty‐five years of the Taffler z‐score model: Does it really have predictive ability?

Although copious statistical failure prediction models are described in the literature, appropriate tests of whether such methodologies really work in practice are lacking. Validation exercises typically use small samples of non‐failed firms and are not true tests of ex ante predictive ability, the key issue of relevance to model users. This paper provides the operating characteristics of the well‐known Taffler (1983) UK‐based z‐score model for the first time and evaluates its performance over the 25‐year period since it was originally developed. The model is shown to have clear predictive ability over this extended time period and dominates more naïve prediction approaches. This study also illustrates the economic value to a bank of using such methodologies for default risk assessment purposes. Prima facie, such results also demonstrate the predictive ability of the published accounting numbers and associated financial ratios used in the z‐score model calculation.     

Financial Distress in the Great Depression

We use firm‐level data to study corporate performance during the Great Depression era for all industrial firms on the NYSE. Our goal is to identify the factors that contribute to business insolvency and valuation changes during the period 1928‐1938. We find that firms with more debt and lower bond ratings in 1928 became financially distressed more frequently during the Depression, consistent with the trade‐off theory of leverage and the information production role of credit rating agencies. We also document for the first time that firms responded to tax incentives to use debt during the Depression era but that the extra debt used in response to this tax‐driven “debt bias” did not contribute significantly to the occurrence of distress. Finally, we conduct an out‐of‐sample test during the recent 2008‐2009 Recession and find that higher leverage and lower bond ratings also increased the occurrence of financial distress during this period.     

An Investigation of Market Microstructure Impacts on Event Study Returns

We investigate the importance of bid-ask spread-induced biases on event date returns as exemplified by seasoned equity offerings by NYSE listed firms. We document significant negative return biases on the offering day which explain a large portion of the negative event date return documented in the literature. Buy-sell order flow imbalance is prominent around the offering and induces a relatively large spread bias. If order imbalances are suspected, the researcher can use returns calculated from the midpoint of the closing bid and ask quotes instead of returns calculated from closing transaction prices to avoid this return bias.     

Investing in the S&P 500 index: Can anything beat the buy‐and‐hold strategy?

Determining whether investment strategies exist that provide higher (risk‐adjusted) returns than buying and holding the S&P 500 stock market index is not only highly relevant for finance theory, but also for the asset management industry. This study conducts a comprehensive test using realistic investment strategies based on monthly seasonalities, technical indicators, and fundamental factors (over 4,100 strategies in total). To assess statistical significance, we use Hansen's data‐snooping‐resistant SPA test. The results show that only investment strategies trying to exploit underreaction and overreaction effects with technical indicators dominate the buy‐and‐hold strategy in some simulation setups. These investment strategies are clearly superior to the strategies based on seasonalities and fundamental factors. Given that underreaction and overreaction effects are mainly justified with cognitive biases, our results support the economic relevance of behavioral finance insights.     

Financial literacy and consumer credit portfolios

We use survey data from a sample of UK households to analyse the relationship between financial literacy and consumer credit portfolios. We show that individuals who borrow on consumer credit exhibit worse financial literacy than those who do not. Borrowers with poor financial literacy hold higher shares of high cost credit (such as home collected credit, mail order catalogue debt and payday loans) than those with higher literacy. We also show that individuals with poor financial literacy are more likely to lack confidence when interpreting credit terms, and to exhibit confusion over financial concepts. They are also less likely to engage in behaviour which might help them to improve their awareness of the credit market.     

All in the Mind: Citizen Satisfaction and Financial Performance in the Victorian Local Government System

While a significant body of literature exists on local government efficiency, much less is known about its effectiveness, especially financial performance and resident satisfaction. To address this gap in the empirical literature, the present paper uses system‐wide official annual data on resident satisfaction in the Victorian state local government system in Australia to investigate the relationship between annual net operating results and overall citizen satisfaction. In addition, in order to garner a deeper understanding of this relationship, we evaluated the assumption in the ‘near‐to‐zero balance’ public accounting literature that local residents prefer an insignificant annual balance in operating performance compared to substantial annual losses or surpluses. We found that there is a significant negative association between overall satisfaction and its components and financial performance for Victorian local government as a whole. However, this association is largely restricted to rural councils with surpluses. By contrast, we find no relationship between satisfaction and near‐to‐zero balances. We conclude by considering the implications of our findings for both the public accounting literature and local government policymaking.     

Audit Market Structure and Competition in Australia

The purpose of this review is to synthesise the existing research literature regarding the underlying structure and competitiveness of the Australian audit market. We consider the findings of Australian academic research, which has examined audit fees, non‐audit fees, market concentration, auditor choice, auditor switching and audit firm mergers. We identify the key metrics used to evaluate market structure in the academic literature and then document changes in these metrics in the Australian audit market for listed company audits during the period 2000–2011. Our analysis shows that the audit market is both highly segmented and supplier‐concentrated. We find that audit fees in Australia have increased over this period, which can be attributed to increased regulation and resulting increased audit effort needed to complete audit engagements in times of regulatory change and more recently, the global financial crisis. We provide regulators, standard setters and the profession with an evidenced‐based perspective on the market for the listed company audits, which is an important input into any future proposals to regulate the Australian audit market.     

Fiscal Policy Shocks in the Euro Area and the US: An Empirical Assessment*

We analyse the impact of fiscal policy shocks in the euro area as a whole, using a newly‐available quarterly data set of fiscal variables for the period 1981–2007. To allow for comparability with previous results on euro‐area countries and the US, we use a standard structural vector autoregressive (VAR) framework, and study the impact of aggregated and disaggregated government spending and net‐tax shocks. In addition, to frame euro‐area results, we apply the same methodology for the same sample period to US data. We also explore the sensitivity of the results to the inclusion of variables aiming to control for underlying financial and fiscal conditions. The main new findings are that: expansionary fiscal shocks have a short‐term positive impact on GDP and private consumption, with government spending shocks entailing, in general, higher effects on economic activity than (net) tax reductions; output multipliers to government expenditure shocks are of similar size in the euro area and in the US; the persistence of a fiscal spending shock is higher in the US than in the euro area, which appears to be related to military spending in the US; and fiscal multipliers have increased over the recent past in both geographical areas.