Transformational change and the vacuum of performance measurement: How a story of success became a failure

Some local government organisations stand out in terms of their capability to adopt and use management accounting innovations and become a model for those struggling with issues such as performance measurement (PM). But what happens to the innovations if the organisation is forced into transformational change? This longitudinal case study is based on the theory that the use and impact of PM is influenced by (a) its contractibility and (b) how the performance management systems in place are configured and used. One conclusion is that transformational change can result in a vacuum of PM, even with a high degree of contractibility.     

Goals versus institutions: the development of performance measurement in the Swedish university sector

This paper contrasts goal-directed and institutional approaches to the development of performance measurement (PM) in the Swedish university sector, which has been subject to increasing emphasis on management by objectives since the early 1990s. We adopt a macro perspective, focusing on recent changes in PM related to governmental control of universities and colleges and combine an extensive review of archival data with interviews in our empirical analysis. It is concluded that although the goal-directed model cannot be completely rejected as a heuristic informing recent changes in PM, a process-orientated institutional perspective considerably enriches the analysis by making it less static and more contextually informed. In particular, the latter perspective better explains the evolution of loose couplings between formally stated goals and performance indicators and between different systems for PM by directing attention to the complex interplay between conflicting constituent interests in the evolution of resource and cost allocation practices and quality control procedures. However, our empirical analysis also leads us to reconsider the conceptions of loose coupling as either a “given” feature of institutionalised organizations or an outcome of more pro-active resistance at the micro level prevailing in much earlier work in institutional theory.     

Performance measurement and institutional processes: a study of managerial responses to public sector reform

Institutional aspects of performance measurement (PM) in public sector organizations are attracting increasing research interest. Only recently, however, has the literature on this topic recognized the pertinent critique of neo-institutional sociology (NIS) pivoting around its view of managers and organizations as primarily passive adaptors to change. This paper explores how the properties of institutional processes associated with recent reforms in the Norwegian health care sector impinge on the extent of pro-active choice exercised by senior management in the development of multidimensional PM reflecting the interests of a wider range of institutional constituencies. Addressing this issue, we draw on Oliver’s (1991) conceptual framework, based on a continuum of responses characterized by a varying degree of pro-active choice. The study thus provides a more detailed analysis of the managerial tactics in developing organizational PM than most prior research informed by NIS. We find support for several of Oliver’s hypotheses regarding the influence of institutional aspects, particularly those pertaining to the causes of the adoption of PM practices, the pattern in which these are diffused and the influence of constituency multiplicity and dependence, but also identify some areas requiring conceptual refinement in this respect.     

Performance measurement in universities: ambiguities in the use of quality versus quantity in performance indicators

Performance measurement (PM) is now common in Western universities. This is also the case in Finland, where a new funding scheme was implemented to ensure that quality was included in universities’ PM. However, this paper shows that the quality indicators in use are, in practice, quantitative. The paper is based on a large survey and has implications for university PM systems in Finland and internationally.     

投资者关注度与股票市场——以PM2.5概念股为例

近年来雾霾成为中国社会的热点话题,而雾霾频发导致PM2.5概念股受到投资者广泛的关注。本文结合现实环境问题,研究投资者通过对环境的关注度继而对与环境相关的股票的影响。具体而言,本文探究投资者对雾霾和PM2.5概念股的关注度对PM2.5概念股的影响。分析发现投资者对雾霾和PM2.5概念股的关注度的增加能拉升PM2.5概念股的股价。投资者对雾霾的关注度和PM2.5概念股的收益率显著正相关。关注度的增加同时也提高PM2.5概念股交易的活跃程度以及PM2.5概念股涨停的可能性。此外,本文发现正面的新闻报道会拉升PM2.5概念股的股价而负面的新闻报道会降低其股价。最后,本文通过讨论内生性和异质性等一系列稳健性检验进一步验证上述结论。     

A Panel Data Analysis of the Relationship Between Air Pollutant Emissions,Economics, and Industrial Structure of China

The purpose of this article is to investigate the relationship between China’s industrial structure, economic position, and air quality. The PM2.5 emission is used as the air pollution indicator, the gross regional product (GRP) and the proportion of secondary industry as the local economic indicators, and the power generation and the freight volume as the developmental indicators of important industries. Using the panel data model, this article provided evidence that the GRP has positive effect on the PM2.5 emission and the power generation has a significant impact as well in several cities. But freight volume could not increase the PM2.5 emission significantly in most regions of China.     

Particulate matter air pollution control programs in Japan — an analysis of cost savings in the absence of future remediation

The objectives of this study were to assess avoided economic costs (or anticipated ‘benefits’) of not implementing new environmental policies for particulate matter (PM) in Japan and compare these future benefits to estimates of future health risks developed in a separate analysis. The estimates for the benefits of avoided PM pollution control in the year 2010 were (1) $27 billion USD for stationary source controls, (2) $2.1 billion to $3.3 billion USD for diesel motor vehicle controls, (3) $41 million USD for governmental employee salaries, (4) $470 million USD for governmental financial assistance, (5) $510 million USD for special diesel vehicle control measures in Tokyo, and (6) $31 billion USD for total costs.

Using human health and productivity risks, calculated in a separate study to be $56 billion USD, the best net ratio of benefits to costs was 1.8 to 1. Inexpensive control options include road watering or paving for unpaved dirt roads and road vacuuming for paved roads. Intermediate options include differential road pricing, retrofitting diesel particulate filters, and reformulating diesel fuel. High cost options include adding particulate controls, such as wet scrubbers, baghouses, and electrostatic precipitators on uncontrolled stationary sources.     

THE IMPACT OF POLITICAL INTERESTS UPON THE FORMULATION OF PERFORMANCE MEASUREMENTS: THE NHS STAR RATING SYSTEM

This study examines the impact of political interests of the Blair Government on the development of the NHS star rating system. It argues that the use of performance measurements (PMs) is not detached from its political context but influenced by institutional interests including in particular those of the Government. The analysis indicates that the formulation of the specifics of PM, and of performance information within the NHS star rating system, was skewed to reflect the political objectives of the Blair Government. PMs are not merely neutral instruments, but, suffused with institutional interests, serve as a coercive mechanism to impose pressures upon the NHS as well as seeking to create a public perception of performance improvement. This study concludes that PMs in the public sector are influenced by the need to serve the political interests of the Government.     

The Effect of Fiduciary Standards on Institutions' Preference for Dividend‐Paying Stocks

Many researchers apparently believe that some institutional investors prefer dividend‐paying stocks because they are subject to the “prudent man” (PM) standard of fiduciary responsibility, under which dividend payments provide prima facie evidence that an investment is prudent. Although this was once accurate for many institutions, during the 1990s most states replaced the PM standard with the less‐stringent “prudent investor” (PI) rule, which evaluates the appropriateness of each investment in a portfolio context. Controlling for the general decline in dividend‐paying stocks, we find that institutions reduced their holdings of dividend‐paying stocks by 2% to 3% as the PI standard spread during the 1990s. Studies of asset pricing and corporate governance should no longer consider dividend payments when evaluating the actions of institutional investors.     

Benefits analysis of particulate matter control programs – a case study of Tokyo

The objective of this case study was to assess economic benefits of past environmental policies of particulate matter (PM) in Tokyo by comparing observed pre‐control PM levels in 1975 and post‐control levels in 1998. The point estimates of the numbers of additional cases of avoided premature mortality and morbidity due to PM pollution control were (1) 3900 long‐term deaths in adults aged 30 years and older (population 5?098?000), (2) 4700 cases of chronic bronchitis in adults aged 30 years and older, (3) 7800 cases of in‐patient cardiovascular disease in adults aged 65 and older (population 1?281?942), (4) 3100 cases of in‐patient pneumonia in adults aged 65 and older, (5) 2500 cases of in‐patient chronic obstructive pulmonary disease in adults aged 65 and older, (6) 390?000 asthma attacks in asthmatics (population 450?000), and (7) 4500 cases of acute bronchitis in children aged 8–12 (population 300?300) during a one‐year period. The point estimate of medical costs in adults and children plus the cost of lost wages was a purchasing power parity‐adjusted $38 billion USD. Overall these results appear more likely to be underestimates than overestimates due to several unquantified benefits. The calculations of avoided health and productivity impacts suggest that pollution control policies successfully prevented a large expense to the society in extra medical care and lost work time.     

Particulate matter air pollution control programs in Japan — an analysis of health risks in the absence of future remediation

The objective of this case study was to assess potential health risks and productivity loss in the absence of future additional environmental control of particulate matter (PM) in Japan. Assuming a 10% decline in PM, the estimates of the numbers of possible cases of premature mortality and morbidity that could be prevented in the year 2010 were (1) 8700 long term deaths, (2) 12,000 cases of chronic bronchitis, (3) 24,000 cases of cardiovascular disease, (4) 10,000 cases of pneumonia, (5) 18,000 asthma attacks, and (6) 12,000 cases of acute bronchitis during a one year period. The best estimate of medical costs plus lost productivity in adults and children was $56 billion USD. When compared to a separately derived estimate of $31 billion USD in avoided pollution control costs, the health risk to no‐control benefit ratio of 1.8 suggests that additional future pollution control policies would successfully prevent a large expense to the society in medical care and lost productivity while imposing a lesser cost to the private sector in control equipment, to government in oversight expenses and to society in opportunity costs.     

省直管县改革与区域空气污染——来自卫星反演数据的实证证据

从政府治理结构改革的角度探讨如何推进环境污染治理是一种有益的尝试。从理论上来说,省直管县改革作为一种重要的政府治理结构改革,能够通过简化政府治理级次来改变政府治理效率,影响诸如环保等公共产品和服务的供给。本文采用卫星反演的PM2.5数据检验了省直管县改革前后县级区域空气污染的变动趋势。发现“财政省直管县”改革能显著降低地区空气污染水平,“强县扩权”改革则显著加剧了地区空气污染。稳健性检验、进一步的分析结果均支持上述结论。机制检验发现,“财政省直管县”主要体现为财力保障水平提升导致的治理变化,而“强县扩权”则主要体现为地方政府竞争行为改变导致的空气污染治理变化。总之,单纯的政府级次减少可能并不必然利于地方公共服务的提供,良好的财力保障为地方污染治理服务提供了支撑,竞争行为变化带来的改革效应则会受到政府对环境污染重视程度的显著影响。     

省直管县改革与区域空气污染——来自卫星反演数据的实证证据

从政府治理结构改革的角度探讨如何推进环境污染治理是一种有益的尝试。从理论上来说,省直管县改革作为一种重要的政府治理结构改革,能够通过简化政府治理级次来改变政府治理效率,影响诸如环保等公共产品和服务的供给。本文采用卫星反演的PM2.5数据检验了省直管县改革前后县级区域空气污染的变动趋势。发现“财政省直管县”改革能显著降低地区空气污染水平,“强县扩权”改革则显著加剧了地区空气污染。稳健性检验、进一步的分析结果均支持上述结论。机制检验发现,“财政省直管县”主要体现为财力保障水平提升导致的治理变化,而“强县扩权”则主要体现为地方政府竞争行为改变导致的空气污染治理变化。总之,单纯的政府级次减少可能并不必然利于地方公共服务的提供,良好的财力保障为地方污染治理服务提供了支撑,竞争行为变化带来的改革效应则会受到政府对环境污染重视程度的显著影响。     

The Return Performance of Cubic Market Model: An Application to Emerging Markets

This article studies the performance of the high-order moment capital asset pricing model (CAPM) market models in emerging markets. We apply the cubic market model (4-moment CAPM) to 16 emerging market stock indices ranging from January 2010 to September 2015. Performance of the model is evaluated through the Fama and MacBeth’s two-step regression and through different corrections proposed in the literature, as well as generalized method of moments (GMM) estimation. According to Fama–MacBeth’s procedure, CAPM, the quadratic and cubic market models seem to be insignificant for the analyzed sample; however, the GMM estimation shows that quadratic model is valid for Indian, Polish, and Thai country indices, whereas cubic market model is accurate for Indian country index.     

A mixture of Gaussians approach to mathematical portfolio oversight: the EF3M algorithm

An analogue can be made between: (a) the slow pace at which species adapt to an environment, which often results in the emergence of a new distinct species out of a once homogeneous genetic pool and (b) the slow changes that take place over time within a fund, mutating its investment style. A fund’s track record provides a sort of genetic marker, which we can use to identify mutations. This has motivated our use of a biometric procedure to detect the emergence of a new investment style within a fund’s track record. In doing so, we answer the question: What is the probability that a particular PM’s performance is departing from the reference distribution used to allocate her capital? The EF3M algorithm, inspired by evolutionary biology, may help detect early stages of an evolutionary divergence in an investment style and trigger a decision to review a fund’s capital allocation.     

Jump detection with wavelets for high-frequency financial time series

This paper introduces a new nonparametric test to identify jump arrival times in high frequency financial time series data. The asymptotic distribution of the test is derived. We demonstrate that the test is robust for different specifications of price processes and the presence of the microstructure noise. A Monte Carlo simulation is conducted which shows that the test has good size and power. Further, we examine the multi-scale jump dynamics in US equity markets. The main findings are as follows. First, the jump dynamics of equities are sensitive to data sampling frequency with significant underestimation of jump intensities at lower frequencies. Second, although arrival densities of positive jumps and negative jumps are symmetric across different time scales, the magnitude of jumps is distributed asymmetrically at high frequencies. Third, only 20% of jumps occur in the trading session from 9:30 AM to 4:00 PM, suggesting that illiquidity during after-hours trading is a strong determinant of jumps.     

Joining the club? Procyclicality of private capital inflows in lower income developing economies

Using a newly developed dataset this paper examines the cyclicality of private capital inflows to low-income developing countries (LIDCs). The empirical analysis shows that capital inflows to LIDCs are procyclical, yet considerably less procyclical than flows to more advanced economies. The analysis also suggests that flows to LIDCs are more persistent than flows to emerging markets (EMs). There is also evidence that changes in risk aversion are a significant correlate of private capital inflows with the expected sign, but LIDCs seem to be less sensitive to changes in global risk aversion than EMs. A host of robustness checks to alternative estimation methods and control variables confirm the baseline results. In terms of policy implications, these findings suggest that private capital inflows are likely to become more procyclical as LIDCs move along the development path, which could render the conduct of countercyclical monetary and fiscal policies more challenging in these economies.     

Coordinating Monetary and Macroprudential Policies

This paper studies noncooperative games between a monetary authority and a macroprudential regulator whose objectives are a subset of those in the social loss function. The analysis is based on a New Keynesian model with a financial sector and a financial friction à la Gertler and Karadi (2011). When the friction affects the financing of all factors of production equally, macroprudential policy is shown to be a powerful additional tool, fully eliminating inefficiencies, regardless of the source of the shock and no matter whether the central bank and the regulator cooperate. But when trade‐offs are present and policy is discretionary, the institutional arrangements become crucial. While coordination leads to higher welfare than a setting in which each authority takes the decision rule of the other as given (namely, the Nash equilibrium), our analysis shows that a noncooperative setting in which the macroprudential authority acts as a leader within the period can be superior to cooperation. Finally, our conclusions are unaffected by whether the macroprudential instrument affects funding costs or acts as a liquidity requirement.     

Limits to mutual funds' ability to rely on mean/variance optimization

Our evidence suggests that estimation error in the required statistics is an important factor inhibiting investors' ability to rely on mean/variance analysis. We compare the returns reported by mutual funds to the returns obtained from a mean/variance optimized portfolio of fund holdings. The results suggest that funds tend to outperform the optimized portfolio out-of-sample (when means/variances/covariances are unknown), but under-perform in-sample (when the required statistics in the optimization are known). Therefore, a popular assumption in asset pricing models that investors rely on a basic mean/variance analysis with known underlying statistics is likely to be grossly violated in the case of mutual funds.     

Impact of corporate performance on stock price predictions in the UAE markets: Neuro-fuzzy model

Predicting stock price remains one of the challenges for investors' investment strategies. This study helps with accurate prediction and the main factors affecting variations in stock prices. It applies an adaptive neuro-fuzzy model on 58 listed firms from both the Abu Dhabi Securities Exchange and the Dubai Financial Market for the period 2014–2018 to estimate the predictive power of corporate performance measures and their significance. After examining four performance predictors—return on asset (ROA), return on equity (ROE), earning per share (EPS), and profit margin (PM)—the study finds that ROE is the most significant predictor and ROA is the least. EPS is the most influential profitability measure and PM the least.