Forecasting Turkey’s Credit Ratings with Multivariate Grey Model and Grey Relational Analysis

The concept of credit rating rooted back to mid-nineteenth century has become one of the most important elements in the world economy together with the globalization period gradually accelerating in the last two decades and increasing the interaction and sensitivity in the international markets. With the globalization and deepening in the financial markets; the effect, reliability and stability of knowledge of the actors who are in charge for directing the global capital flows have quite a big importance in terms of the decisions to be made in the future. In this process, credit rating agencies eliminating the information asymmetry between the countries and institutions who want to create financial resource by borrowing from the savings owners and foreign institutions. Credit ratings determined by the mentioned organizations are accepted as an indicator of the countries to meet the financial obligations in other words their creditworthiness. For Turkey’s economy having a structure with a high level of external financing needs in terms of accelerating the growth and development process, it is inevitable to have an international creditworthiness increasing long-term investment tendency meeting foreign capitals’ trust search. In this study, firstly the determinants of the credit ratings given by credit rating agencies are determined and then forecasting Turkey’s future credit ratings by combining them with multivariate grey model and grey relational analysis are performed.

     

On the multi-utility representation of preference relations

We develop the ordinal theory of (semi)continuous multi-utility representation for incomplete preference relations. We investigate the cases in which the representing sets of utility functions are either arbitrary or finite, and those cases in which the maps contained in these sets are required to be (semi)continuous. With the exception of the case where the representing set is required to be finite, we find that the requirements of such representations are surprisingly weak, pointing to a wide range of applicability of the representation theorems reported here. Some applications to decision theory under uncertainty and consumer theory are also considered.     

An unrequited affinity between talent shortages and untapped female potential: The relevance of gender quotas for talent management in high growth potential economies of the Asia Pacific region

We demonstrate that gender quotas have not attracted due interest as a talent management formulation in the Asia Pacific region. Drawing on a literature review, this paper illustrates the utility of gender quotas for talent management in the context of high growth potential economies in the Asia Pacific region, i.e. China, Singapore, Thailand, Hong Kong and Taiwan. These five economies are characterized with talent shortages on the one hand, and untapped female potential on the other. We show the necessity and legitimacy of considering gender quotas as part of talent management strategy in the region in order to leverage untapped female potential for addressing talent shortages.     

An Options Approach to Valuing Expansion Flexibility in Flexible Manufacturing System Investments

Flexibility in manufacturing processes provides an ability to change or even reverse the decisions made in earlier periods. The traditional economic evaluation methods of investments in flexible manufacturing systems ignore the value of flexibility, which should be one of the key issues in the justification process. Options approach appears as a means of overcoming the limitations of conventional discounted cash flow methods. In this work, a methodology for valuing expansion flexibility of flexible manufacturing systems is presented. Expansion flexibility in a phased manufacturing investment can be valued by viewing an initial investment as being analogous to purchasing an option to exchange one risky asset for another risky asset within a time period from the initial investment. While keeping the option to expand is of value, a thorough analysis requires that the opportunity cost of delaying expansion be taken into account. In this paper, an analytic approximation methodology for valuing sequential American exchange options on dividend paying stocks is employed for valuing expansion flexibility. A comprehensive numerical example is presented to illustrate the approach, and sensitivity analyses are performed.     

A predictive filtering approach for clarifying bibliometric datasets: an example on the research articles related to industry 4.0

ABSTRACT

This study proposes a filtering approach based on text classification and a fuzzy multi-criteria decision-making technique to select the relevant bibliometric data for further analyses in the scope of bibliometrics, scientometrics, and related methodologies. The proposed approach is illustrated on Industry 4.0 and internet of things which are the concepts that currently draw utmost attention with a growing number of research and applications. Accordingly, various findings are presented revealing the characteristics of the selected bibliometric data with the help of text and network analytics. The potential contribution of this study is two-fold such that the study not only suggests a novel approach for clarifying the retrieved bibliometric data but also emphasises the mainstream research areas and directions of Industry 4.0 along with the concept of the internet of things. Thus, an analysis framework with computing techniques has been used to reveal the characteristics of literature in a field of technology.     

Market power and hot air in international emissions trading: the impacts of US withdrawal from the Kyoto Protocol

Ten years after the initial Climate Change Convention from Rio in 1992 the industrialized world is finally likely to ratify the Kyoto Protocol, which will impose legally binding greenhouse gas emission reductions on the developed world. However, the Kyoto Protocol will enter into force without the USA, which withdrew under President Bush in March 2001. Accounting for hot air and market power of the Former Soviet Union on emission permit markets, it is shown that US withdrawal has important consequences on environmental effectiveness, compliance costs, and excess costs of market power under the Kyoto Protocol. Non-compliance of the USA implies a dramatic decrease in environmental effectiveness as well as compliance costs of OECD countries whereas the Former Soviet Union and transitional economies in Eastern Europe suffer from a huge decline in permit sales revenues. Excess costs of market power in permit trade increase in relative terms, but decline substantially in absolute terms due to US withdrawal. Policy options are quantified to bypass the problems of hot air and market power through compensation mechanisms.     

A new perspective on the competitiveness of nations

The capability of firms to survive and to have a competitive advantage in global markets depends on, amongst other things, the efficiency of public institutions, the excellence of educational, health and communications infrastructures, as well as on the political and economic stability of their home country. The measurement of competitiveness and strategy development is thus an important issue for policy-makers. Despite many attempts to provide objectivity in the development of measures of national competitiveness, there are inherently subjective judgments that involve, for example, how data sets are aggregated and importance weights are applied. Generally, either equal weighting is assumed in calculating a final index, or subjective weights are specified. The same problem also occurs in the subjective assignment of countries to different clusters. Developed as such, the value of these type indices may be questioned by users. The aim of this paper is to explore methodological transparency as a viable solution to problems created by existing aggregated indices. For this purpose, a methodology composed of three steps is proposed. To start, a hierarchical clustering analysis is used to assign countries to appropriate clusters. In current methods, country clustering is generally based on GDP. However, we suggest that GDP alone is insufficient for purposes of country clustering. In the proposed methodology, 178 criteria are used for this purpose. Next, relationships between the criteria and classification of the countries are determined using artificial neural networks (ANNs). ANN provides an objective method for determining the attribute/criteria weights, which are, for the most part, subjectively specified in existing methods. Finally, in our third step, the countries of interest are ranked based on weights generated in the previous step. Beyond the ranking of countries, the proposed methodology can also be used to identify those attributes that a given country should focus on in order to improve its position relative to other countries, i.e., to transition from its current cluster to the next higher one.     

Wage-led versus profit-led demand: A comprehensive empirical analysis

This study investigates various economic factors’ impact in determining the relationship between functional income distribution and aggregate demand from both a theoretical and an empirical viewpoint. We base our analysis on a demand-driven growth model for an open economy that allows for either profit-led or wage-led regimes. Our results strongly indicate that a higher level of trade openness is associated with a lower probability of being wage-led. We find evidence that lower wage inequality makes an economy more wage-led and that countries with a greater private credit-to-gross domestic product (GDP) ratio are more likely to be profit-led.     

Measuring immigration's effects on labor demand: A reexamination of the Mariel Boatlift

Why do immigration shocks tend to have benign effects on native wages? One reason is that immigrants as consumers contribute to the demand for their services. We model an economy where workers spend their wages on a locally produced good, then test it via a reexamination of the 1980 “Mariel Boatlift” using Wacziarg's Channel Transmission methodology. Current Population Survey data on workers in 9 different retail labor markets and Survey of Buying Power data on retail spending by consumers in Miami and four comparison cities are used. We find strong evidence that the Mariel Boatlift augmented labor demand.     

How Do Large Banking Organizations Manage Their Capital Ratios?

U.S. banks hold significantly more equity capital than required by their regulators. We test competing hypotheses regarding the reasons for this “excess” capital, using an innovative partial adjustment approach that allows estimated BHC-specific capital targets and adjustment speeds to vary with firm-specific characteristics. We apply the model to annual panel data for publicly traded U.S. bank holding companies (BHCs) from 1992 through 2006, an extended period of increasing bank capital that ended just before the subprime credit crisis of 2007–2008. The evidence suggests that BHCs actively managed their capital ratios (as opposed to passively allowing capital to build up via retained earnings), set target capital levels substantially above well-capitalized regulatory minima, and (especially poorly capitalized BHCs) made rapid adjustments toward their targets.