The value relevance of cash flows, current accruals, and non-current accruals in the UK

Cash flow statements have a longstanding history as mandated financial statement disclosures, having replaced funds flow statements. The usefulness of such disclosures with respect to one of the main purposes of financial statements—providing information relevant to the assessment of future cash flows and their uncertainty, and the market value of firms—is still subject to debate. This study investigates whether various partitions of earnings involving combinations of a cash flow measure of performance and measures of current accruals and non-current accruals improve the ability to explain market values in the UK relative to using earnings alone. Using a valuation model-based methodology, and employing a UK sample of non-financial firms for the years 1993 to 2007, our results suggest strong support for the assertion that cash flows can have incremental value relevance relative to either earnings or funds flows. By implication, cash flows can have separate value relevance from total and, in particular, current accruals. There is slightly less consistent evidence that current and non-current accruals can have separate value relevance but, nonetheless, the results are still strongly in favour in this respect. Generally, the main source of increase in explanatory power for market values is the separate inclusion of our cash flow measure in the estimated regressions. As a consequence, we conclude that the statement of cash flows in the UK provides information useful to UK investors in valuing firms. Further, requiring a cash flow statement, as opposed to a funds flow statement, improves the information content of financial statements in the UK.     

The Effect of a Complex Ownership Structure and Judicial Efficiency on Leverage: Evidence from Pakistani Listed Companies

We explore the impact of complex ownership structure and judicial efficiency on firm leverage at Pakistani pyramid firms. Ratio of controlling to ownership rights is much higher at Pakistani firms than in other economies, which motivates us to study its impact on leverage. Our results reveal that complex internal structure at Pakistani pyramid firms is positively related to leverage. We find that the presence of efficient courts weaken the impact of complex ownership structure on leverage at pyramid firms. Contrary to the literature, we find that the political connections of pyramid firms in Pakistan are not related to corporate leverage.     

Information-sharing in health and social care: Lessons from a socio-technical initiative

Advances in information technology have led to new and innovative approaches in data-sharing, analysis, interpretation, and the potential for real-time responses to changes in health and social care status. However, health and social care information is not only complex but often socially and personally sensitive in ways that do not apply in other domains. This requires adoption of a tailored interdisciplinary (social, ethical, legal, technical and data science) and intersectoral (health and social care, academic and commercial institutions and citizens) approach to technology development. The authors present some important lessons to date from ongoing development of an innovative infrastructure for sharing health and social care data.     

Managing retailer profitability—one customer at a time!

This study examines how customer lifetime value (CLV) can be computed at individual customer level in a retail setting to maximize profitability. The study finds that maximum positive impact to CLV occurs when the customer cross-purchases, shows multi-channel shopping behavior, stays longer with the firm, buys specific product categories and purchases more frequently with the firm. Interestingly, the CLV follows an inverted U relationship with increase in return of prior purchases. Other interesting findings include a surprisingly low correlation between customer loyalty and future profitability and low correlation between stores’ historic revenues and future profitability. Several implications are suggested for retailers to manage and maximize customer profitability as well as store profitability.     

Comparative Analysis of Text Data in Successful Face-to-Face and Electronic Negotiations

Various combination of Natural Language Processing and Machine Learning methods offer ample opportunities wherever texts are an important element of an application or a research area. Such methods discover patterns and regularities in the data, seek generalization and in effect learn new knowledge. We have employed such methods in learning from a large amount of textual data. Our application is electronic negotiations. The genre of texts found in electronic negotiations may seem limited. It is an important research question whether our methods and findings apply equally well to texts that come from face-to-face negotiations. In order to confirm such more general applicability, we have analyzed comparable collections of texts from electronic and face-to-face negotiations. We present our findings on the extent of similarity between these two related but distinct genres. In this study we have analyzed similarities in the text data of electronic and face-to-face negotiations. The results show that – in certain conditions – vocabulary richness, language complexity and text predictability are similar.This is an expanded version of a paper published in the Proceedings of FINEXIN 2005 (Workshop on the Analysis of Formal and Informal Information Exchange during Negotiations), 31–42, Ottawa, Canada, May 2005.     

Price expectations of sheep and goats by producers and intermediaries in Quetta market,Pakistan

Analysis of producers' and intermediaries' livestock price expectations was used to describe the market in Quetta, the largest livestock market in the highlands of Balochistan Province, Pakistan, and to identify factors that determine price expectations of small ruminants. A total of 4800 expected prices for sheep and goats were collected from producers and market intermediaries at monthly intervals between January 1991 and December 1992. In addition to the expected price of the animal, liveweight, species, sex, breed, body condition (fatness), calendar day and month were recorded, and whether data were collected on a meat or meatless day. Monthly rainfall data were also collected. Models of goat and sheep price expectations were built to compare the similarity of the behaviour of producers and intermediaries. Results indicated that producers and intermediaries expected high prices from November to January and during religious holidays. They expected premiums and discounts related to animals' attributes. Liveweight and seasonality had the strongest effect on prices. Rainfall in the current and previous month was positively related to seller's expected prices suggesting that livestock are retained to take advantage of favourable grazing conditions. The models of price expectations showed that producers adjusted expected goat prices (P ≤ 0.10) for seasonality, liveweight, body condition, age, sex and breed, while they adjusted sheep prices for seasonality and liveweight only. High pay-offs could be expected if extension efforts focused on factors that determine sheep meat quality; however, the retail ceiling price of meat and the lack of grading are a disincentive to work in this direction. Seasonality of supply and demand is important in determining prices and this study provides baseline information for market scheduling; however, scheduling of sales of transhumant pastoralists may be difficult to achieve. Further investigation is justified to understand the gap in marketing knowledge between producers who sell in the villages and those who sell in Quetta.     

An empirical analysis of self-employment in the U.K.

The paper formulates a self-employment/paid-employment choice problem that draws upon Knight's notion that the individual responds to the risk-adjusted relative earnings opportunities in each sector. Based on a development of such choice-theoretic considerations, an econometric model is developed with the purpose of empirically examining the determinants of self-employment. The model features simultaneous determination of employment status and earnings, which allows for self-selectivity. The model is estimated using a sample of 4762 individuals from the General Household Survey for 1978. The estimation of the earnings equation enables a calculation of the self-employment/paid-employment earnings differential and the estimated probit equation for self-employment/paid-employment status facilitates the prediction of the probability of self-employment. The paper finds that there is positive selection bias in the observed earnings of employees, that the probability of self-employment depends positively on the earnings difference between the two sectors and that education and age are significant determinants of self-employment.