Dynamics of Stock Market Correlations

We present a novel approach to the study the dynamics of stock market correlations. This is achieved through an innovative visualization tool that allows an investigation of the structure and dynamics of the market, through the study of correlations. This is based on the Stock Market Holography (SMH) method recently introduced. This qualitative measure is complemented by the use of the eigenvalue entropy measure, to quantify how the information in the market changes in time. Using this innovative approach, we analyzed data from the New York Stock Exchange (NYSE), and the Tel Aviv Stock Exchange (TASE), for daily trading data for the time period of 2000–2009. This paper covers these new concepts for the study of financial markets in terms of structure and information as reflected by the changes in correlations over time.Correlation, Stock Market Holography, eigenvalue entropy, sliding window

How to Measure the Intervention Process? An Assessment of Qualitative and Quantitative Approaches to Data Collection in the Process Evaluation of Organizational Interventions

Organizational interventions aiming at improving employee health and wellbeing have proven to be challenging to evaluate. To analyze intervention processes two methodological approaches have widely been used: quantitative (often questionnaire data), or qualitative (often interviews). Both methods are established tools, but their distinct epistemological properties enable them to illuminate different aspects of organizational interventions. In this paper, we use the quantitative and qualitative process data from an organizational intervention conducted in a national postal service, where the Intervention Process Measure questionnaire (N = 285) as well as an extensive interview study (N = 50) were used. We analyze what type of knowledge about intervention processes these two methodologies provide and discuss strengths and weaknesses as well as potentials for mixed methods evaluation methodologies

The divergent transitions towards sustainable biofuel networks/chains

In this exploratory paper we investigate how Capabilities, Transaction Costs and Vertical Scope co-evolve, by testing the Jacobides & Winter (2005) model on the Biofuels Industry in the area of the EU. The theoretical framework is based on the Industrial Architecture theory but also on Transaction Costs Economics, Resource Based View and on the concept of the Dynamic Capabilities. Qualitative data on the institutional environment of the Biofuels Industry in the EU-15 was collected. Via interviews, qualitative data (case studies) was collected through interviews on the elements of productive capabilities, the vertical division of labour, knowledge and technology and attributes of the transactions. These conclusions include the verification of mechanisms 1 & 2 of the Jacobides & Winter (2005) model, in particular that the resources and capabilities determine the degree of vertical specialisation, with transactions costs as moderating factor. The conclusions of this project bring the need for further investigation on measuring the concepts of Capabilities and Transaction Costs together but also, on how to prescribe and measure the process of Capabilities development and the capabilities redistribution

Integrating Organisational Change Management and Customer Relationship Management in a Casino

This research aims to solve the problem: how can casinos manage organizational change programs, and internal and external customer relationship management (CRM) programs? To find a solution, it uses two stages of qualitative methods: convergent interviewing and case research about four departments of a casino in Australia. After a thorough data analysis of documents and interview data, 12 themes were identified and they led to the development of a model of how organizational change management and CRM can be integrated to improve initiatives in organisations such as casinos. The model has seven core elements: vision, key challenge, objective, measure, strategy, initiative and outcome. A contribution is the development of this evidence-based model of links between the both types of CRM and organisational change management, with an action checklist for managers. Analytic generalisation beyond the research setting was done in this research, but more external validation could be done in future research. Managers could use the checklist of actions about this research\u27s integrated model, to reduce the high failure rate of change initiatives

Collection Change is Not a Hoax: Using Assessment to Promote Collection Sustainability

What do we mean by collection sustainability and how do we measure it? The presenters will discuss how their institution came to a shared understanding of collection sustainability, to develop key metrics for it, and to identify the qualitative and quantitative assessment data that shapes and measures it

A Computational Approach to Qualitative Analysis in Large Textual Datasets

In this paper I introduce computational techniques to extend qualitative analysis into the study of large textual datasets. I demonstrate these techniques by using probabilistic topic modeling to analyze a broad sample of 14,952 documents published in major American newspapers from 1980 through 2012. I show how computational data mining techniques can identify and evaluate the significance of qualitatively distinct subjects of discussion across a wide range of public discourse. I also show how examining large textual datasets with computational methods can overcome methodological limitations of conventional qualitative methods, such as how to measure the impact of particular cases on broader discourse, how to validate substantive inferences from small samples of textual data, and how to determine if identified cases are part of a consistent temporal pattern

Comparing Apples with....Apples : how to make (more) sense of subjective rankings of constraints to business

The use of expert or qualitative surveys to rank countries’ business investment conditions is widespread. However, within the economic literature there are concerns about measurement error and endogeneity based on characteristics of the respondents, raising questions about how well the data reflect the underlying reality they are trying to measure. This paper examines these concerns using data from 79,000 firms in 105 countries. The findings show that first, qualitative rankings correlate well with quantitative measures of the business environment, using both quantitative measures from within the survey and from external sources. Second, there are systematic variations in perceptions based on firm characteristics - focusing in particular on size and growth performance. However, it is not that an optimistic view of the business environment is simply the expression of a firm’s own performance. Rather, firm size and performance affect the relative importance of certain constraints, particularly in areas such as finance, time with officials/inspectors, corruption, and access to reliable electricity. The results also show that much of the variation in subjective responses by firm types is largely due to differences in the objective conditions across firm types. There is little evidence that size and performance have non-linear effects in how constraining a given objective condition is reported to be. Overall, concerns about endogeneity remain in using business environment indicators to explain firm performance, but this stems primarily from the fact that who you are and how well you are doing can affect the conditions you face rather than whether the indicator used is qualitative or quantitative.Microfinance,E-Business,Transport Economics Policy&Planning,Debt Markets,Access to Finance

Cairo Evaluation Clinic: Thoughts on Randomized Trials for Evaluation of Development

We were asked to discuss specific methodological approaches to evaluating three hypothetical interventions. This article uses this forum to discuss three misperceptions about randomized trials. First, nobody argues that randomized trials are appropriate in all settings, and for all questions. Everyone agrees that asking the right question is the highest priority. Second, the decision about what to measure and how to measure it, i.e., through qualitative or participatory methods versus quantitative survey or administrative data methods, is independent of the decision about whether to conduct a randomized trial. Third, randomized trials can be used to evaluate complex and dynamic processes, not just simple and static interventions. Evaluators should aim to answer the most important questions for future decisions, and to do so as reliably as possible. Reliability is improved with randomized trials, when feasible, and with attention to underlying theory and tests of why interventions work or fail so that lessons can be transferred as best as possible to other settings.program evaluation, randomized control trial