Measuring stress in money markets: A dynamic factor approach

We extract an index of interest rate spreads from various money market segments to assess the level of funding stress in real time. We find that during the 2007–2009 financial crisis, money markets switched between low and high stress regimes except for brief periods of extreme stress. Transitions to lower stress regimes are typically associated with the non-standard policy measures by the Federal Reserve.     

The Primacy of Space in Politics: Bargaining Rights,Freedom and Power in an İstanbul Neighborhood

This article explores and theorizes the ways in which urban space and political contestations are mapped onto each other. The ethnography illustrates the multifaceted transformations in a notoriously secularist neighborhood of ?stanbul, Te?vikiye, as it first turns into a high‐consumption locality in the post‐1980s, then into a high‐conflict urban space in the new millennium on the arrival of Muslim high‐spenders, particularly headscarved women. Aiming to fill the gap left by the absence of spatial analysis from political science and political sociology, I argue that the urban neighborhood becomes central for political contestation when both government and opposition fail to protect and secure liberties and rights. Now that devout Muslims are integrated into highly contested urban sites and share bourgeois lifestyles, ordinary people act in defense of their ‘sphere’ of freedom and privacy. This new territoriality is largely symptomatic of increasing fears of losing freedom, privacy and social status. This spatial defensiveness is reinforced by people's decreasing trust in, and increasing demands from, the state for the protection and security of their rights and liberties. My overarching argument is that exclusive attention to the bipolar clash between devout Muslims and secularists under the rubric of ‘neighborhood wars’ obscures multipolar conflicts around the discontents stemming from authoritarianism and democratization.     

No escape from the dominant theories: The analysis of intellectual pillars of technology management in developing countries

This paper aims to identify the intellectual bases of the technology management (TM) literature generated in developing countries using citation and co-citation analyses and answer the question of whether the intellectual bases of the TM literature created by authors in developing countries diverge from those of the global TM literature. Based on a comprehensive bibliometric analysis of ten technology-innovation management (TIM) specialty journals through the period of 1998-2007, this study produces three important findings. First, the TM literature generated in developing countries is dominated by the knowledge and theories created in developed countries. Second, among these knowledge sources some authors from developing countries and focusing on the specialties of developing countries, such as Kim and Lall, come into prominence; however these authors are not even mentioned in the previous bibliometric studies covering overall TM research. Finally the researchers in developing countries tackle with the issues or topics specific to their own context through combining three major bulks of literature. These are (i) resource-based view (RBV)/core competencies and organizational learning related research; (ii) literature dealing with the evolutionary theorizing on economic change and growth and (iii) literature related to technological capabilities, technology transfer and industrialization in developing countries.     

Money,reserves, and the transmission of monetary policy: Does the money multiplier exist?

With the use of non-traditional policy tools, the level of reserve balances has risen in the US from roughly $20 billion before the financial crisis to well past $1 trillion. The effect of reserve balances in macroeconomic models often comes through the money multiplier, affecting the money supply and the bank lending. In this paper, we document that the mechanism does not work through the standard multiplier model or the bank lending channel. If the level of reserve balances is expected to have an impact on the economy, it seems unlikely that a standard multiplier story will explain the effect.     

Delivery horizon and grain market volatility

We study the difference in the volatility dynamics of CBOT corn, soybeans, and oats futures prices across different delivery horizons via a smoothed Bayesian estimator. We find that futures price volatilities in these markets are affected by inventories, time to delivery, and the crop progress period and that there are important differences in the effects across delivery horizons. We also find that price volatility is higher before the harvest starts in most cases compared to the volatility during the planting period. These results have implications for hedging, options pricing, and the setting of margin requirements. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 30:846–873, 2010     

A Bootstrap Method for Identifying and Evaluating a Structural Vector Autoregression*

Graph‐theoretic methods of causal search based on the ideas of Pearl (2000), Spirtes et al. (2000), and others have been applied by a number of researchers to economic data, particularly by Swanson and Granger (1997) to the problem of finding a data‐based contemporaneous causal order for the structural vector autoregression, rather than, as is typically done, assuming a weakly justified Choleski order. Demiralp and Hoover (2003) provided Monte Carlo evidence that such methods were effective, provided that signal strengths were sufficiently high. Unfortunately, in applications to actual data, such Monte Carlo simulations are of limited value, as the causal structure of the true data‐generating process is necessarily unknown. In this paper, we present a bootstrap procedure that can be applied to actual data (i.e. without knowledge of the true causal structure). We show with an applied example and a simulation study that the procedure is an effective tool for assessing our confidence in causal orders identified by graph‐theoretic search algorithms.     

Are there monitoring benefits to institutional ownership? Evidence from seasoned equity offerings

We provide new evidence on the monitoring benefits from institutional ownership by analyzing the impact of institutional ownership on stock price and operating performance following seasoned equity offerings, a setting where the effects of monitoring are likely to be especially important. We find that announcement returns are positively and significantly related to total and active institutional ownership levels and concentration. Post-issue stock returns are positively and significantly related to the contemporaneous post-issue changes in total and active institutional ownership and the concentration of their shareholdings. Operating performance improvements are also related to institutional monitoring in the one, two, and three years following the equity issue. Our results continue to hold even after accounting for the possibility that institutional investors have an informational advantage that enables them to identify and invest in subsequently better performing firms. We also empirically eliminate the possibility that our findings are driven by institutions buying past winners and selling past losers as a way to window-dress their portfolio holdings.     

New evidence of regional income divergence in post-reform Russia

This article investigates regional income convergence in Russia during 2000–2008. We test the hypothesis in which income divergence across regions of the country should give place to income convergence as the country moves toward free market economy with strong market institutions. The study contributes to the existing literature by using the exponential smooth autoregressive Augmented Dickey–Fuller (ADF) unit root test in a panel setup, a novel econometric technique, which encompasses cross sectional dependence. Results show strong evidence of on-going regional income divergence in post-reform period.     

When do customers offer firms a “second chance” following a double deviation? The impact of inferred firm motives on customer revenge and reconciliation

The present research develops and tests a theory explaining how customers respond to failed service recoveries (i.e., double deviations). This work offers three novel and important conclusions. First, inferences about a firm's motive (negative vs. positive) mediate the impact of perceptions of the double deviation (i.e., severity, blame, and fairness) on resulting outcomes (i.e., customer anger, desire for revenge, and desire for reconciliation). Second, when inferred motive is positive, desire for reconciliation overwhelms desire for revenge, leading customers to choose more reparatory than retaliatory behaviors. Third, following a double deviation, firms that both compensate and apologize to customers can change customers’ inferred motives from negative to positive, leading customers to desire more reconciliation than revenge, and engage in more reparatory than retaliatory behaviors. These studies demonstrate that, contrary to common wisdom, customers do not always respond negatively to a double deviation, and firms still have a “second chance” following a failed recovery.