Relationship equity and switching behavior in the adoption of new telecommunication services

This paper first defines and then presents a model of “relationship equity” for business markets. It points out that the potential benefits of managing relationship equity have been largely ignored and that a general model and stream of relevant research questions could be useful to marketing and relationship practitioners. The model developed considers the special case of key account management as antecedent, two different types of moderator variables, relationship equity as a perception by the buyer, and switching behavior via adoption of new telecommunication services as a result of this perception. The model is used as a basis for developing a number of working propositions.     

Bank Lending to Native American Applicants: An Investigation of Mortgage Flows and Government Guarantee Programs on Native American Lands

We investigate the efficacy of government guarantee programs for mortgage loans made on tribal lands by comparing lending outcomes for White applicants and Native Americans (NAs) living on- and off reservation lands. Simultaneous equations models with the loan-to-income ratio endogenous indicate both on- and off-reservation NA applicants experience higher conditional denial rates compared with otherwise similar White applicants. NAs living on-reservation are equally as likely to be approved for mortgage loans as off-reservation NAs. On-reservation applicants self-select lower loan-to-income ratios, and are held to a higher standard for this credit variable, likely because lower housing values and other economic variables challenge on-reservation applicants. Our findings suggest lack of financial resources, lack of applicant education about and experience with the mortgage process, low creditworthiness, and lender reluctance to confront burdensome bureaucracy limit on-reservation guarantee program success.     

The impact of monetary policy on asset prices

Estimating the response of asset prices to changes in monetary policy is complicated by the endogeneity of policy decisions and the fact that both interest rates and asset prices react to numerous other variables. This paper develops a new estimator that is based on the heteroskedasticity that exists in high-frequency data. We show that the response of asset prices to changes in monetary policy can be identified based on the increase in the variance of policy shocks that occurs on days of FOMC meetings and of the Chairman's semi-annual monetary policy testimony to Congress. The identification approach employed requires a much weaker set of assumptions than needed under the “event-study” approach that is typically used in this context. The results indicate that an increase in short-term interest rates results in a decline in stock prices and in an upward shift in the yield curve that becomes smaller at longer maturities. The findings also suggest that the event-study estimates contain biases that make the estimated effects on stock prices appear too small and those on Treasury yields too large.     

How advanced is the strategy paradigm? The role of particularism and universalism in shaping research outcomes

As the field of strategy reaches its 25th anniversary, we examine how far the field has progressed during that time. Both management and strategy research have been characterized as being in an early stage of development. We draw on Kuhn's ( 1996 ) paradigm development model, which posits a connection between a field's stage of maturity and research processes and outcomes, to assess the maturity of the strategy field. We conduct two studies. The first is a cross‐discipline comparison of productivity norms for university faculty. The second study examines longitudinal research outcomes for a sample of 945 strategy faculty. Our results indicate that strategy has the attributes of both an early stage and mature field: while overall research norms are low relative to other fields, they are driven far more by merit‐based than non‐merit factors. Copyright © 2005 John Wiley & Sons, Ltd.     

Short-Sale Restrictions and Price Clustering: Evidence from SEC Rule 201

We provide a novel test of information-based theories of price clustering by examining trade, order, and the National Best Bid and Offer (NBBO) quote price clustering during periods when information is removed from the market. We use a natural experiment of short-sale restrictions resulting from Securities and Exchange Commission (SEC) Rule 201 to more effectively determine the impact of information on price clustering. We find evidence of increased price clustering for trades, orders, and NBBO prices during short-sale restrictions. Overall, our findings indicate that short-sale restrictions harm the price discovery process and lead to a reduction in market efficiency.     

Decomposing the market,industry, and firm components of profitability: implications for forecasts of profitability

Academics and practitioners frequently highlight that overall market and industry performance is an important aspect of a firm’s profitability. However, few studies allow for the decomposition of a firm’s profitability into market, industry, and idiosyncratic components, and those that do often assume that the market and industry components are cross-sectional constants. In this study, we allow for variation in firm-specific sensitivities to market, industry, and idiosyncratic economic shocks, and then assess whether and when this decomposition results in improved forecasts of profitability. For the overall sample, we find significant improvements in terms of the magnitude of forecast errors and the frequency with which forecasts based on the decomposed values are superior versus forecasts using only total profitability. Across the sample as a whole, decomposing profitability in the forecasting process results in more accurate forecasts greater than two-thirds of the time (increasing to almost 80% within certain subsamples). Our results provide strong support for the role that firm-specific measures of market and industry profitability play in predicting a firm’s future performance, as well as highlighting settings where the decomposition provides the greatest benefit in terms of predicting future changes in profitability.     

Asymptotic behaviour of tests for a unit root against an explosive alternative

We compare the asymptotic local power of upper-tail unit root tests against an explosive alternative based on ordinary least squares (OLS) and quasi-differenced (QD) demeaning/detrending. We find that under an asymptotically negligible initialisation, the QD-based tests are near asymptotically efficient and generally offer superior power to OLS-based approaches; however, the power gains are much more modest than in the lower-tail testing context. We also find that asymptotically non-negligible initial conditions do not affect the power ranking in the same way as they do for lower-tail tests, with the QD-based tests retaining a power advantage in such cases.     

Impacts of household loan regulation on financial stability: evidence from Korea

The paper examines whether banking regulations and monetary policy contributed to controlling the fragility of household debt in Korea. The results show that housing loan regulations such as debt to income regulation contributed to a lower household debt delinquency ratio. Lowering the target interest rate provided additional stabilisation of the delinquency ratio. It is recommended that the government adopt an appropriate mix of regulation and monetary policy to control household financial fragility. The financial supervisory services need to be involved in managing debt to income regulation and minimising financial instability and financial market distortions. Further, the monetary authority has to adopt a more effective position in controlling the real lending interest rate and the delinquency ratio of household loans. Such a policy mix will improve effectiveness in controlling financial fragility, especially at a time of financial crisis.     

MODELLING A REGIME‐SHIFTING BEVERIDGE CURVE

This paper offers new insights into Beveridge curve analysis by modelling the unemployment–vacancy rate relationship within a Markov regime‐switching environment in which the probabilities of curve‐shifting are determined endogenously by shift factors. Shift factors include structural factors such as labour market participation and net migration, while cyclical variables include GDP growth, the real rate of interest, and labour productivity. This approach enables us to estimate regime‐specific parameters and to assess the role played by these factors in influencing the transition probabilities of switching between regimes. Using New Zealand data, we show that increases in the participation rate have shifted the Beveridge curve inward, while increases in net migration have shifted the curve outward.