Entry and capital structure mimicking in concentrated markets: The role of incumbents’ financial disclosures

We examine whether the public availability of product market incumbents' financial disclosures leads to greater capital structure mimicking of incumbents by entrants. Exploiting a change in disclosure enforcement for German private firms in the mid-2000s, we find entrant-incumbent mimicking rises substantially in concentrated markets once incumbents' financial statements are publicly available. Additional tests exploring potential mechanisms are more consistent with interfirm learning underlying the effect than alternative channels. Our findings shed light on the effects of competitor financial statement disclosure on private firms’ initial financing decisions and highlight how capital structure dependencies among peer firms arise.     

A Performance Comparison Between Cross-Sectional Stochastic Dominance and Traditional Event Study Methodologies

In this study, the performance of cross-sectional stochastic dominance (SD), first proposed by Falk and Levy (FL) (1989), is compared with three traditional event study methodologies: the Mean Adjusted model, the Market Adjusted model, and the Market and Risk Adjusted Returns model. The comparison technique we use is a simulations approach similar to that of Brown and Warner (BW) (1980). BW show that the Mean Adjusted and Market Adjusted Returns models perform as well as the more sophisticated Market and Risk Adjusted Returns model. FL, however, provide a very compelling argument against the three traditional event study methodologies. The problem, they note, is not the theoretical need for risk adjustment; it is the definition and measurement of risk. FL assert that the observed abnormal returns (or lack thereof) may be due to omitted variables, a market proxy effect, or other specification errors in implementing the traditional event study methodologies.The present research finds that SD analysis without the bootstrap method for statistical testing is not very useful at any level of abnormal return. However, when the bootstrap method of statistical testing is employed, SD is found to perform as well as, and sometimes better than, the three traditional models in detecting simulated abnormal performance at all test levels. The results are consistent with FL's assertion that the improved performance may result from the SD methodology being free from the specification errors inherent in the three traditional event study models.     

A nesting framework for Markov-switching GARCH modelling with an application to the German stock market

In this paper, we establish a generalized two-regime Markov-switching GARCH model which enables us to specify complex (symmetric and asymmetric) GARCH equations that may differ considerably in their functional forms across the two Markov regimes. We show how previously proposed collapsing procedures for the Markov-switching GARCH model can be extended to estimate our general specification by means of classical maximum-likelihood methods. We estimate several variants of the generalized Markov-switching GARCH model using daily excess returns of the German stock market index DAX sampled during the last decade. Our empirical study has two major findings. First, our generalized model outperforms all nested specifications in terms of (a) statistical fit (when model selection is based on likelihood ratio tests) and (b) out-of-sample volatility forecasting performance. Second, we find significant Markov-switching structures in German stock market data, with substantially differing volatility equations across the regimes.     

Shared knowledge and product design glitches in integrated product development

Product development processes based on the joint collaboration of the cross-functional team, suppliers, and customers can minimize project glitches. Glitches in the product development project can cause project cost over-runs and delay a project past when first mover advantages are possible. While previous theoretical work has suggested a negative relationship between shared knowledge and product development glitches, empirical studies have not identified how different types of shared knowledge are associated with each other and the design glitches. This study proposes a model of the relationship between specific types of shared knowledge and design glitches in integrated product development (IPD) projects. We test our model using a sample of 191 projects from the automotive industry in the United States. The major findings were that: (1) shared knowledge of the development process can be built by improving a team's shared knowledge of customers, suppliers, and internal capabilities, (2) shared knowledge of the development process for a project reduces product design glitches, and (3) reduced product design glitches improve product development time, cost, and customer satisfaction.     

Product price and performance level in one market or two separated markets under various cost structures and functions

Market characteristics, including intrinsic demand and customer sensitivity on price and product performance level, are distinct at different markets. Comparisons of various product development strategies in one market or two geographically separated markets are conducted for three classes of products: development intensive products (DIPs) with constant unit cost, marginal cost-intensive products (MIPs) with constant fixed cost, and marginal and development intensive products (MDIPs) with non-constant unit cost and fixed cost. Results show that larger demand size, less customer sensitivity on price and/or more sensitivity on performance level lead to more profit, a higher sale price and a not-lower product performance. The customer reservation or the saturation performance level should be generally adopted though the optimal performance level does exist occasionally. Unit cost and/or fixed cost must increase in performance at an increasing rate for the existence of one optimal performance level. Due to the impact of demand size, one high-end (low-end) MDIP or DIP could be introduced into one low-end (high-end) market at a different price if the demand size is significantly large in the low-end market. For DIPs, offering one niche high-end product is not worse than offering the low-end product into two markets. For MIPs with negligible fixed cost, the product line strategy is not worse than the standard product development strategy. Additionally, the product cost reduction approach adopted in one product line has significant effects on the best product development strategy and sequence.     

The roles of stakeholder support and procedure-oriented management on asset recovery

As the management of returned products is fast becoming a business trend caused by pressure for compliance, asset recovery is increasingly viewed as a fertile area for firms to reduce cost and improve quality. Environmental management is a viable approach for Chinese manufacturers to respond to the escalating international quest for conserving the environment, to tackle the problem of rising raw material costs, and to improve product quality by analyzing returned products. To reach the goals of cost reduction and product quality improvement, manufacturers need to understand how asset recovery can be leveraged through procedure-based practices and stakeholder support to enhance performance. Product type, characterized by different levels of demand uncertainty and time-to-market, may affect the outcomes of asset recovery adoption and should also be taken into account. Drawing on the environmental management and business logistics literature, we provide empirical insights on asset recovery adoption using survey data collected from export-oriented Chinese manufacturers. We find that asset recovery and stakeholder support are complementary in strengthening manufacturers' financial performance regardless of product type. In addition, the performance impact of asset recovery can be substantial when manufacturers' environmental management practices are less procedural, allowing flexibility in the logistics management of product flows.     

Stock Returns Under High Inflation and Interest Rates: Evidence from the Brazilian Market

We analyze the relationship of high inflation and interest rates with stock returns in Brazil from May 1986 to May 2011, during which Brazil experienced subperiods of both high inflation (May 1986-June 1994) and relative monetary stability (July 1994-May 2011). The result in the total period is dominated by high inflation volatility, and the findings suggest a bidirectional relationship between stock returns and inflation. During the high-inflation subperiod, interest rates are relevant to explain future changes in inflation and stock returns. Under low inflation, movements in interest rates are better anticipated by equity investors, suggesting higher market efficiency than in high-inflation circumstances.     

Sensitivity of Systematic Risk Estimates to the Return Measurement Interval Under Serial Correlation

This paper analytically and empirically investigates the sensitivity of the return measurement interval to the market beta estimate and suggests a market beta estimation method incorporating the investment horizon through a vector autoregressive (VAR) model when there is serial correlation in returns. The analytical relation between the beta estimate and the return measurement interval is obtained. Based on the analytical relation, a decision function for the intervalling effect is provided. It is found that the intervalling effect is mostly caused by January returns.     

Heterogeneity effects from market interventions

The aim of this paper is to test whether the European Commission activities generate a heterogeneity effect on the merging parties. A sample of 74 firms involved in 45 contested merger and acquisition operations during the years 1990 to 1999 is used. The methodology is based on the GARCH framework. The main result is that, globally, the DGC interventions seem not to reduce significantly the heterogeneity among investors, except for the operations where it takes strong decisions like prohibition. In these last cases, the signal coming from the DGC encompasses valuable information and is well understood by market participants.     

Capability building through innovation for unserved lower end mega markets

Although product innovation for unserved lower end mega markets in large developing countries has been recognized as an opportunity for improving the competitiveness of local firms, limited research has been conducted that explicitly explores how innovation capabilities can be built for these markets. This study investigates Tata Motors' Nano as an exploratory case of building innovation capabilities. This paper shows that the building of innovation capability could be achieved through creating a process that overcomes ‘the deficiency problem’ in generating radically cheap priced original products.The study's contribution to the literature is that it addresses issues of building local firms' innovation capabilities through creating original products for the unserved lower end market, in which advanced country firms have limited experience.Nano, as an unprecedented innovation in the automobile industry, reveals a path to building innovation capability that has not previously been observed. We show that detailed processes involved in generating an original product for the lower end market provide insights on the strategy in terms of target price setting, initiating innovation process overcoming ‘the deficiency problem’, and creation of complementary resources.