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The purpose of this paper is to propose an analysis method based on a hybrid model, which combines principal component regression (PCR) model and general regression neural network (GRNN) to solve both multicollinearity problems and non‐linear problems at the same time.

First, the financial ratio data of companies with stocks listed in regular stock market and over‐the‐counter stock market in Taiwan and Mainland China are collected and used as sample data. Grey relational analysis is used to rank the enterprises' operation performance, and the enterprises in Taiwan and Mainland China with business operation performance in the first place are selected and their stock information collected to perform the prediction of stock closing price.

Five indices such as the root mean square error, revision Theil inequality coefficient, mean absolute error, mean absolute percentage error and coefficient of efficiency of the test result are calculated; the empirical results show that the prediction power of the hybrid model of PCR+genetic algorithm general regression neural network is obviously better than the model of PCR, GRNN and PCR+GRNN.

The paper adopts a hybrid model and parameter adjustment to increase prediction capability.

To explore the shifting contours of politico-economic governmental responsibility and accountability from the consensually driven Keynesian welfare state model through to the market focused neo-liberal new public management (NPM) approach and beyond. In particular the chapter addresses the post-2008 crisis and austerity environment. It questions why the apparent failure of the market privileged neo-liberal model resulting in financial crisis and the prolonged aftermath has not led to an alternative recognizably coherent or consensually based approach to government and state responsibility for politico-economic management, and the implications of this for the accountability of public services.

The chapter draws on extensive literature across economic, social policy, public management and other fields as well as government and key institutional documents and reports. This enables a comparative perspective on governmental approaches to politico-economic management and management of public services, addressing key areas of consensus, responsibility and accountability.

The chapter traces the trajectory of governmental accountability and responsibility from Keynesianism to neo-liberalism and NPM, conceptually grounding these policy shifts and punctuations. It suggests that the key issue – why the dramatic failure of the neo-liberal model from 2008 has not led to a new emerging paradigm – may be answered not simply by reference to the continuation of neo-liberal approaches, but by appreciating that a number of countries have in fact implemented adaptive and resilient systems which have accommodated many of the neo-liberal NPM prescriptions. The findings conclude with some speculation on the future of government and public sector accountabilities and responsibilities.

The purpose of this paper is to comment on Professor Ming-Jer Chen’s recent publication titled “Competitive dynamics: Eastern roots, Western growth” and present an asymmetry reversing perspective on the competitive dynamics between two nonobvious, invisible or indirect competitors, namely, how emerging market resource-poor firms compete and outcompete advanced country resource-rich rivals.

The author first identifies an important neglect in Professor Chen’s scholarship on competitive dynamics, i.e., the neglect of the ubiquity of the less visible competition between two actors who initially would not be considered as competitors. Then, the author proposes an asymmetry reversing theory (ART) of competitive dynamics to redress this neglect. The theory is presented in two parts. The first part describes the competitive dynamics between the two actors as a three-stage process of reversing the asymmetry in resource possession and market position between the resource-poor firm and its resource-rich rivals. The second part explains the key success factors for the resource-poor firm to go through each of the three stages.

The growth process of the resource-poor firm can be broadly divided into three stages: surviving, catching-up, and outcompeting. For ambitious yet pragmatic resource-poor firms, in the surviving stage, they often (have to) accept the asymmetry between themselves and their resource-rich rivals in terms of resource possession and market position, and try to avoid any direct competition with the strong incumbents. They often tactically appear to pursue different paths of development from those of the strong incumbents by focusing on particular product categories and market segments. Doing so allows the resource-poor firms to win times and spaces for non-interrupted growth. Once they have accumulated sufficient resources and market experiences, they start to reduce the asymmetry between themselves and their better-endowed rivals by entering the similar or same product categories and market segments. To effectively catch up and outcompete the incumbents, they often differentiate themselves from their rivals by offering cheaper products or services, adding new features to their products, providing extra services to their customers, inventing new business models, etc.

One limitation of this paper is that the ART framework has so far been built on anecdotal evidences. It needs to be tested by empirical studies and refined further in the future. Another limitation is that the proposed theory is based on competitive dynamics between emerging market resource-poor firms and advanced country resource-rich firms. It needs to be tested whether this theory has applicability to any other firms.

This paper fills an important research gap in the competitive dynamics literature by proposing an asymmetry reversing theory of competitive dynamics between a weak latecomer and a strong incumbent in a competitive field.

Debt-related financial derivative usage by state and local governments became a very salient topic over the last few years in light of the Great Recession and its impacts on the efficacy of these financial instruments. However, there has been a dearth of systematic research on the types and kinds of derivatives state and local governments have actually employed in recent years. While anecdotes of financial derivative usage has grabbed the headlines (such as the case of Jefferson County, Alabama), there has been little research examining the derivative portfolios among states or local governments pre- and post-Great Recession. Using descriptive research, this paper attempts to rectify this gap in the literature for state governments as a means of better understanding how the recent financial crisis has impacted the critical debt management decision to use financial derivatives.

The purpose of this paper is to develop an explicitly macroprudential supervisory framework designed to identify threats to financial stability use existing mechanisms to reduce the risk of these threats and to provide information to the authorities to more efficiently mitigate any instability that does arise.

This paper begins with an analysis of the limitations of microprudential regulation. It then develops a macroprudential surveillance framework focused on those financial markets that have the potential to undermine financial stability. It concludes with a discussion of how the surveillance results may be used to enhance financial stability.

The current supervisory focus on microprudential supervision of systemically important institutions is insufficient; an explicitly macroprudential focus is required.

Although this paper’s conceptual framework is applicable to all advanced financial systems the discussion of specific regulatory structures focuses on the USA.

An explicit supervisory focus on the threats posed by major financial markets is feasible and desirable.

The probability of a financial crisis and the economic damage caused by a crisis can be significantly reduced by redirecting some regulatory efforts toward in-depth analysis of major financial markets.

The paper emphasizes that macroprudential supervision must include both quantitative and detailed analysis of the qualitative aspects of key markets.

This paper aims to examine the evolution of a competitive market structure over time through the lens of competitive group membership dynamics.

A new hidden Markov modeling approach is devised that accounts for the three sources of competitive heterogeneity involving managerial strategy, corporate performance and the impact of strategy on performance. In addition, some observed “entry” and “exit” states are considered to model firms’ entry into and exit from the market. The proposed model is illustrated with an investigation of the US banking industry based on a data set created from the COMPUSTAT database. This paper estimated the model within the Bayesian framework and devised a reversible jump Markov chain Monte Carlo estimation procedure to determine the number of latent competitive groups and uncover the characteristics of each group.

This paper shows that the US banking industry, contrary to the prior findings of having a relatively stable structure, has, in fact, gone through dramatic changes in the past number of decades.

Contrary to prior work that has primarily focused on managerial strategy to study market evolutions, the competitive groups perspective accounts for all three sources of intra-industry competitive heterogeneity. In addition, unlike prior research, the analysis is not limited to firms remaining in the panel of study for the entire observation period. Such limitation results in missing the various changes that occur in the competitive market structure because of the new entrants or the struggling firms that do not survive in the market.