Foreign competition and the durability of US firm investments

How does the exposure to product market competition affect the investment horizon of firms? We study if firms have an incentive to shift investments toward more short‐term assets when exposed to tougher competition. Based on a stylized firm investment model, we derive a within‐firm estimator using variation across investments with different durabilities. Exploiting the Chinese World Trade Organization (WTO) accession, we estimate the effects of product market competition on the composition of US firm investments. Firms that experienced tougher competition shifted their expenditures toward investments with a shorter durability. This effect is larger for firms with lower total factor productivity.     

Unbiased estimation of expected return using CAPM

Estimation of expected return is required for many financial decisions. For example, an estimate for cost of capital is required for capital budgeting and cost of equity estimates are needed for performance evaluation based on measures such as EVA. Estimates for expected return are often based on the Capital Asset Pricing Model (CAPM), which states that expected excess return (expected return minus the risk-free rate) is equal to the asset's sensitivity to the world market portfolio (β) times the risk premium on the “world market portfolio” (the market risk premium). Since the world market portfolio, by definition, contains all assets in the world, it is not observable. As a result, an estimate for expected return is commonly obtained by taking an estimate for β based on some index (as a proxy for the world market portfolio) and an estimate for the market risk premium based on a potentially different index and multiplying them together. In this paper, it is shown that this results in a biased estimate for expected return. This is undesirable since biased estimates lead to misallocation of funds and biased performance measures. It is also shown in this paper that the straightforward procedure suggested by Fama and MacBeth [J. Financ. Econ. 1 (1974) 43] results in an unbiased estimate for expected return. Further from the analysis done, it follows that, for an unbiased estimate, it does not matter what proxy is used, as long as it is used correctly an unbiased estimate for expected return results.     

Pricing in Segmented Markets, Arbitrage Barriers, and the Law of One Price: Evidence from the European Car Market

The paper uses micro‐level price data from the European car market to examine why there are deviations from the law of one price. The absolute law of one price is strongly rejected, but there is convergence to its relative version. Two sets of explanations are considered: (i) price‐setting in segmented markets, and (ii) arbitrage barriers. Overall, the determinants of arbitrage costs have more explanatory power. The single most important factor is the distance between markets. Evidence for Belgium and Luxembourg suggests that a single currency lowers price differences significantly.     

A note on measuring political participation in comparative research

This article presents an application of Prezeworski and Teune's so-called “identity-equivalence method” to a large set of indicators of political participation. By relaxing commonly held assumptions about necessary distinctions among types of participation, it is found that the distinction between “conventional” and “unconventional” modes of participation is unnecessary, while the distinction between “government” and “nongovernment” has some merit. The findings also lend further support to the claims of Prezeworski and Teune that the identity-equivalence method is preferable to the identical indicator method.     

On Conditional Density Estimation

With the aim of mitigating the possible problem of negativity in the estimation of the conditional density function, we introduce a so-called re-weighted Nadaraya-Watson (RNW) estimator. The proposed RNW estimator is constructed by a slight modification of the well-known Nadaraya-Watson smoother. With a detailed asymptotic analysis, we demonstrate that the RNW smoother preserves the superior large-sample bias property of the local linear smoother of the conditional density recently proposed in the literature. As a matter of independent statistical interest, the limit distribution of the RNW estimator is also derived.     

BUILDING CARS TO CUSTOMER ORDER — WHAT DOES IT MEAN FOR INBOUND LOGISTICS OPERATIONS?

The automotive industry is undergoing a strategic transition. Cost pressure from rising stock levels in the market and increasing incentives needed to sell these vehicles are forcing vehicle manufacturers to rethink their prevalent “stock‐push” approach, building vehicles against a forecast and selling from stock, in favor of a stock‐less “build‐to‐order” order fulfillment strategy. More responsive order fulfillment at the vehicle manufacturer level however will not only require flexible and responsive component supply, but will also have wide ramifications for the logistics operations. Based on three case studies of major inbound logistics operations, this exploratory study assesses their ability to support such a build‐to‐order approach, as well as the potential implications of such transition. The paper concludes with a set of general strategies for how these implications could be mitigated.     

Social Scientific Explanations?

Generally valid scientific explanations of observable social phenomena are still hardly available. By applying philosophical insights generated by Quine and derived from semiotics to social research methodology three kinds of context dependencies accompanying theory formation within social science are identified. The third context dependency is mostly not attended in theory formation about social phenomena thereby producing a ``connotation fallacy', which leaves almost all social theories undetermined and fallible. These context dependencies should be taken into account in the research design and be tested for using statistical criteria comprising a new methodology presented in this article.     

Information–driven trading at the Prague Stock Exchange: Evidence from Intra–Day Data

Many observers argue that informed and insider trading is widespread in the emerging financial markets of transition countries, yet rigorous treatment of this issue has been virtually non–existent. The current paper estimates the extent of informed trading on the Prague Stock Exchange (PSE) using intra–day transaction data. Our estimates confirm that the average share of informed trading is equal to 0.32, which is high relative to developed markets and varies considerably among stocks. Using the Easley et al. (1996) approach on the very best segment of the PSE we obtained a high average probability of informed trading. Since data used in this study cover the period after the major attempts to improve market regulations, our results indicate that the PSE needs further strengthening to recover credibility and to become a real source of corporate financing. JEL classification: G14, G15.