The relationship between private investors and small firms: an agency theory approach

Many small firms in Sweden are characterized by a lack of equity capital. For several years measures to increase the equity capital have been discussed. In this discussion the private investors' market has received virtually no attention. This study presents some preliminary results of the private investors in Sweden.

The research in small firms financing is characterized by a lack of theoretical framework. One basic assumption in the study is that agency theory can provide an essential framework to explain the interaction between the private investor and entrepreneur. Twenty-five hypotheses generated from agency theory are formulated and tested on 62 small unlisted firms in Sweden. Multiple regression analysis is used for the causal analyses.

The empirical results in the study show inter alia that the geographic distance and the private investor's knowledge about the portfolio firm's transformation process seem to be the most influential factors for determining the private investor's involvement in the portfolio firms. It is also interesting to notice that none of the variables, frequency of contacts and the private investor's operational work in the portfolio firm affect the performance of the firm. Contrary to conventional wisdom, private investors do not add value to their portfolio firms through their interaction with the entrepreneurs.

The theoretical conclusion is that agency theory does not provide any satisfactory framework to explain the private investor - entrepreneur relationship. Some of the basic assumptions in agency theory seem to be invalid. A model for the relationship between private investors and entrepreneurs is developed in which four interaction strategies are identified. The model gives implications on two levels: the portfolio level and the individual case level.     

Social economy and employment – the case of Sweden

Recent research has shown growing shares of employment in the social economy (or non-profit sector) both in the European Union and in the United States. In the EU, there seems to be growing hopes that the social economy will be capable of contributing to local progress on the unemployment issue in crisis regions. This paper analyses employment in certain entrepreneurial forms, usually considered belonging to the social economy, in Sweden during the 1990s. The results show considerable regional differences of employment in the social economy, but also that its share of the labor market is very limited. The effect of social-economic organizations on employment, therefore, is probably mainly indirect in as much as they function as platforms for cooperation between firms or else as embryos for enterprises by strengthening local entrepreneurship and helping to nurture a deposit of social capital which has visible effects on private business and jobs. However, these effects need more detailed examinations.     

Planning for balanced growth in Chinese air traffic: A case for statistical mechanics

This paper identifies drivers of variations within air traffic systems highlighting inefficient mechanisms that can lead to system sub-optimality. Domestic air traffic in China is used as a case study. Airports need to respond to local demands with airlines that control parts of the system as agents. The relationship between the agent's behavior and system-wide variations in traffic movements shows how the collective behavior of a relatively few agents can disproportionately influence the system-wide traffic distribution.     

INFORMATION IN THE YIELD CURVE: A MACRO‐FINANCE APPROACH

We use a macro‐finance model, incorporating macroeconomic and financial factors, to study the term premium in the US bond market. Estimating the model using Bayesian techniques, we find that a single factor explains most of the variation in bond risk premiums. Furthermore, the model‐implied risk premiums account for up to 40% of the variability of one‐ and two‐year excess returns. Using the model to decompose yield spreads into an expectations and a term premium component, we find that, although this decomposition does not seem important to forecast economic activity, it is crucial to forecast inflation for most forecasting horizons. Copyright © 2012 John Wiley & Sons, Ltd.     

Managing Risks in Complex Projects

Dealing effectively with risks in complex projects is difficult and requires management interventions that go beyond simple analytical approaches. This is one finding of a major field study into risk management practices and business processes of 35 major product developments in 17 high‐technology companies. Almost one‐half of the contingencies that occur are not being detected before they impact project performance. Yet, the risk‐impact model presented in this article shows that risk does not affect all projects equally but depends on the effectiveness of collective managerial actions dealing with specific contingencies. The results of this study discuss why some organizations are more successful in detecting risks early in the project life cycle, and in decoupling risk factors from work processes before they impact project performance. The field data suggest that effective project risk management involves an intricately linked set of variables, related to work process, organizational environment, and people. Some of the best success scenarios point to the critical importance of recognizing and dealing with risks early in their development. This requires broad involvement and collaboration across all segments of the project team and its environment, and sophisticated methods for assessing feasibilities and usability early and frequently during the project life cycle. Specific managerial actions, organizational conditions, and work processes are suggested for fostering a project environment most conducive to effective cross‐functional communication and collaboration among all stakeholders, a condition important to early risk detection and effective risk management in complex project situations.     

Utility Functions

Abstract

This article is a self-contained survey of utility functions and some of their applications. Throughout the paper the theory is illustrated by three examples: exponential utility functions, power utility functions of the first kind (such as quadratic utility functions), and power utility functions of the second kind (such as the logarithmic utility function). The postulate of equivalent expected utility can be used to replace a random gain by a fixed amount and to determine a fair premium for claims to be insured, even if the insurer’s wealth without the new contract is a random variable itself. Then n companies (or economic agents) with random wealth are considered. They are interested in exchanging wealth to improve their expected utility. The family of Pareto optimal risk exchanges is characterized by the theorem of Borch. Two specific solutions are proposed. The first, believed to be new, is based on the synergy potential; this is the largest amount that can be withdrawn from the system without hurting any company in terms of expected utility. The second is the economic equilibrium originally proposed by Borch. As by-products, the option-pricing formula of Black-Scholes can be derived and the Esscher method of option pricing can be explained.     

“One-deal-fits-all?” On Category Sales Promotion Effectiveness in Smaller versus Larger Supermarkets

Even within a store chain and format, supermarket outlets often exhibit substantial differences in selling surface. For chain managers, this raises the issue of correctly anticipating the promotion lift, and of profitably managing promotion activities, across these outlets. In this paper, we conceptualize why and how store size influences the category sales effectiveness of four promotional indicators (depth of the promotional discount, display support, feature support, and whether the promotion is quantity-based). We then estimate the net moderating effect on four product categories for 103 store outlets belonging to four chains. For each of the promotion instruments, we find the percentage sales increases to be lower in large stores. For instance, whereas a 10% point increase in feature activity enhances category sales by about 1.64% in a 700 m² store, this figure drops to only 1.03% in a 1300 m² store – a 59% reduction. This moderating effect is especially pronounced for discount depth, the relative sales lift from a typical price cut being about 78% lower in the larger-sized outlet. However, since large outlets also have larger base sales, the picture changes when we consider absolute sales effects. The net outcome is that deeper discounts or quantity-based promotions do not systematically generate larger or smaller absolute sales bumps in large stores, whereas for in-store displays and features, we obtain a clear positive (be it less than proportional) link between store size and absolute category sales lift. When it comes to margin implications, we show that large stores gain higher profit from price cuts than small outlets only as long as the retailer keeps part of the manufacturer discount to himself. Managers can use these insights to improve their promotional forecasts across outlets, as well as to tailor their mix of instruments to store selling surface.     

Segmenting a market in the making: Industrial market segmentation as construction

This paper takes an empirical starting point in a claim that Biacore, a pioneering Swedish producer of affinity biosensors, was “in the enviable position of creating its own market” (Abelin, 1997). An in-depth case study traces how Biacore undertook segmentation activities while shaping the market for its new product technology, affinity biosensors. This involved stabilising the modes of exchange with customers, the product and the identity of the company. The efforts of Biacore highlight a constructive dimension of market segmentation that hitherto has received little attention. Rather than a process of describing, deciding and taking action, Biacore engaged in the gradual construction of market segments through an interactive and iterative process involving close collaboration with early users. Simultaneously, the market for the new technology gained shaped. Thus, the paper reports a ‘markets from networks’ story illustrating how the practice of segmenting a market may have consequences for that market.     

Probability and quantile estimation from individually micro-aggregated data

Micro-aggregation is a frequently used strategy to anonymize data before they are released to the scientific public. A sample of a continuous random variable is individually micro-aggregated by first sorting and grouping the data into groups of equal size and then replacing the values of the variable in each group by their group mean. In a similar way, data with more than one variable can be anonymized by individual micro-aggregation. Data thus distorted may still be used for statistical analysis. We show that if probabilities and quantiles are estimated in the usual way by computing relative frequencies and sample quantiles, respectively, these estimates are consistent and asymptotically normal under mild conditions.