An alternative to the weighted score card approach to measuring performance: An analysis of English and Welsh probation boards

The UK government published a weighted score card approach in 2003 to analyse the performance of Probation Boards in England and Wales. However, there has not been a thorough analysis of whether non-parametric methods could provide more advanced options for analysing performance than the standard Weighted Score Card approach – a variant of the Balanced Score Card. Our results show there is considerable divergence in the ranks of Probation Boards from that of the WSC when we include the input variable ‘resource expenditure’ within a DEA model, calling into question recent policy initiatives to increase efficiency in the national probation service.     

Are VIX futures prices predictable? An empirical investigation

This paper investigates whether volatility futures prices per se can be forecasted by studying the fast-growing VIX futures market. To this end, alternative model specifications are employed. Point and interval out-of-sample forecasts are constructed and evaluated under various statistical metrics. Next, the economic significance of the forecasts obtained is also assessed by performing trading strategies. Only weak evidence of statistically predictable patterns in the evolution of volatility futures prices is found. No trading strategy yields economically significant profits. Hence, the hypothesis that the VIX volatility futures market is informationally efficient cannot be rejected.     

Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction

This paper reports the results of the NN3 competition, which is a replication of the M3 competition with an extension of the competition towards neural network (NN) and computational intelligence (CI) methods, in order to assess what progress has been made in the 10 years since the M3 competition. Two masked subsets of the M3 monthly industry data, containing 111 and 11 empirical time series respectively, were chosen, controlling for multiple data conditions of time series length (short/long), data patterns (seasonal/non-seasonal) and forecasting horizons (short/medium/long). The relative forecasting accuracy was assessed using the metrics from the M3, together with later extensions of scaled measures, and non-parametric statistical tests. The NN3 competition attracted 59 submissions from NN, CI and statistics, making it the largest CI competition on time series data. Its main findings include: (a) only one NN outperformed the damped trend using the sMAPE, but more contenders outperformed the AutomatANN of the M3; (b) ensembles of CI approaches performed very well, better than combinations of statistical methods; (c) a novel, complex statistical method outperformed all statistical and CI benchmarks; and (d) for the most difficult subset of short and seasonal series, a methodology employing echo state neural networks outperformed all others. The NN3 results highlight the ability of NN to handle complex data, including short and seasonal time series, beyond prior expectations, and thus identify multiple avenues for future research.     

生态环境改善与农村经济发展相关关系辩析

本文通过对过西县烈马峪生态经济模式所作的分析，指出环境系统和生物系统相关关系有着正面效应和负面效应两方面表现。要光大正面效应，抑制负面效应。为此，要树立正确的指导思想，谋划适应社会主义市场经济的新思路，调整产业结构，实施整体联动，进行综合治理。     

内心生活与员工创造力的关系——基于员工建言的中介作用

在文献回顾的基础上确定理论模型,采用问卷调查数据,实证研究了员工的内心生活水平对其创造力的影响,并探讨了建言行为在两者间的中介作用。研究结果表明:内心生活对员工的创造力和建言行为均有显著的正向影响;建言行为在内心生活与员工创造力间的关系中起完全中介作用。     

A quantitative perspective of Porter's industry forces framework for investment analysis

Porter's industry forces framework is an important tool for external analysis of firms, but its qualitative nature presents numerous limitations to be used in investment analysis. This study introduces a quantitative perspective of the framework using financial information proxies. This allows investors to gauge the external factors quantitatively and to gain enhanced framework usability. In order to test its validity, the correlation movements of our quantitative perspective have been analysed. For demonstration of enhanced usability, our quantitative perspective, alongside machine learning models, was used to predict business performances. The empirical results indicate that our quantitative perspective of the framework corroborates with its original definition and that it exhibits enhanced usability than the original framework.