Inflation,financial development,and growth: A trilateral analysis

A large body of evidence links financial development to economic growth, yet the channels through which inflation affects this relationship and its stability have been less thoroughly explored. We take an econometric and graphical approach to examining these channels, and find that higher levels of financial development, combined with low-inflation, are related to higher rates of economic growth, especially in lower income countries, but that financial development loses much of its explanatory power in the presence of high-inflation. In particular, small increases in the price level seem able to wipe out relatively large growth effects of financial deepening when the annual rate of inflation lies between 4% and 19%, whereas the operation of the finance–growth link is less affected by inflation rates above this range. Growth is generally much lower, however, in such high-inflation settings where financial development is typically repressed.     

An investigation of long memory in various measures of stock market volatility, using wavelets and aggregate series

Using methods based on wavelets and aggregate series, long memory in the absolute daily returns, squared daily returns, and log squared daily returns of the S&P 500 Index are investigated. First, we estimate the long memory parameter in each series using a method based on the discrete wavelet transform. For each series, the variance method and the absolute value method based on aggregate series are then employed to investigate long memory. Our findings suggest that these methods provide evidence of long memory in the volatility of the S&P 500 Index. Our esteemed colleague, Robert DiSario, passed away on December 31, 2005.     

Political Business Cycles and Endogenous Elections

Empirical research of political business cycles (PBCs) may suffer from endogeneity bias when incumbent governments have discretion to call for an early election. Using an instrumental variable (IV) routine on data from Japan and the U.K., we find strong evidence to support the notion that election timing is a function of the economy rather than the macroeconomy being driven by elections as assumed in PBC. In single-equation regressions, no evidence of political cycles are found, but Hausman tests suggest elections are endogenous in our regressions. A monetary cycle in Japan and an inflation cycle in the U.K. are uncovered through IV estimation.     

Price dispersion across US districts of entry

Price dispersion of US imports are investigated across US districts of entry. Markups explain about 31% of price dispersion, while marginal costs of production explain about 69%; effects of trade costs, for which we have actual data, are almost none.     

Patterns of alignment in alliance structure and innovation

Alliances are becoming an increasingly common strategy for product development despite the intrinsic tension between alliance logic and innovation logic. This paper investigates the development of alliance structures during the exploration phase of the innovation process. Based on a study of five service development alliances in the telecom industry, three patterns are identified by which the alliance structure and the innovation are brought into alignment. Such alignment seems to be a necessary condition for the transition into commercialization. The patterns identified are: (1) Learning about the innovation may trigger changes in the alliance structure; (2) Learning about the innovation may suggest changes in the alliance structure that are impossible to implement, however, thus triggering changes in the innovation; (3) Planning the future alliance structure may suggest changes in the innovation. Based on these patterns, some conclusions and implications are identified, for both theory and practice.     

Return and Maturity Relationships for Treasury Auctions: Evidence from Turkey

The relationship between the interest rate and the maturity of newly issued bonds provides information on the debt dynamics of an economy as well as on the sustainability of its debt. Such information is crucial especially for countries that have debt‐rollover concerns due to financial stress and/or macroeconomic instability. This study investigates the relationship between treasury auction maturity, which also dictates the debt maturity, and auction interest rates. When the Turkish treasury auction data from 1988 to 2004 are analysed, a reciprocal linkage between auction interest rates and maturities can be observed, especially for the 1995–2000 period, when there were chronic high inflation, high political uncertainty, high public deficits and unsuccessful attempts at stabilisation. This suggests that under an adverse shock, the Treasury decreases the auction maturity in order not to increase interest rates too much. A change in this reciprocal relationship is also reported for the post‐2001 era, which is characterised by decreasing inflation, higher political stability, lower public deficits and successful stabilisation attempts.     

Exchange Rate Risk and Interest Rate: A Case Study for Turkey

This paper examines the effect of exchange rate risk on interest rates within the uncovered interest rate parity condition for Turkey. When the interest rate is measured with the Treasury auction interest rate and the exchange rate risk is measured with the conditional variance of the exchange rate, then we found that there is a positive relation between the exchange rate risk and interest rate with the data from December 1986 to January 2001.     

Information Processing Hierarchies

This paper characterizes optimal stationary hierarchies based on an information processing model introduced by Radner. We show how the delay, size (number of processors), capacity (the size of each cohort processed), and throughput (frequency of cohort arrival) are related and determine a feasibility frontier in the space of these variables. The structure of efficient hierarchies implementing the points on the feasibility frontier is also specified. These structures are always nonregular; i.e., every agent has subordinates from several different levels. The nature of the long accepted maxim of decreasing returns to scale in management hierarchies is demonstrated. When the production function of the hierarchy is taken to be the number of information items it can process, we find that returns to size and delay are always decreasing in efficient hierarchies, but these variables are complementary in the design problem. Finally, we discuss how the underlying abilities of the processors affect the marginal returns to size and delay. Journal of Economic Literature Classification Numbers: L22, D83.     

Valuation of Learning Options in Software Development Under Private and Market Risk

Commercial software development is an inherently uncertain activity. Private risk is high, schedule and cost overruns are common, and market success is elusive. Such circumstances call for a disciplined project evaluation approach. This paper addresses the use of market and earned value management data in assessing the economic value of commercial software development projects that are simultaneously subject to schedule, development cost, and market risk. The assessment is based on real options analysis, a financial valuation technique that can tackle dynamic investment decisions under uncertainty. The paper demonstrates the application of real options analysis to a development scenario that consists of two consecutive stages: a mandatory prototyping stage and an optional full-development stage. The full-development stage is undertaken only if the prototype is successful and the market outlook is sufficiently positive at the end of the prototyping stage, thus giving the full-development stage the flavor of an option. The project's staged design increases its value. Real options analyses capture the extra value due to optionality.     

Assessing the Efficiency of Risk Mitigation Strategies in Supply Chains

Mitigating supply chain risk is a critical component of a company's overall risk management strategy. Drawing upon Contingency Theory, we posit that the appropriateness and effectiveness of risk mitigation strategies are contingent on the internal and external environments and that there is no one‐size‐fits‐all strategy. While literature on risk management has proposed a variety of tools and techniques for effectively evaluating and managing supply chain risks, comprehensive assessment of the efficiencies of alternative risk mitigation strategies has not been addressed in the literature. Such an assessment will help managers select the appropriate mitigation strategy for a given decision‐making environment. To this end, this study is first of its kind in evaluating and proposing efficient supply chain risk mitigation strategies in the presence of a variety of risk categories, risk sources, and supply chain configurations. We combine an empirically grounded simulation methodology with data envelopment analysis and nonparametric statistical methods to analyze and rank alternative mitigation strategies. We find that the more efficient strategies focus on flexibility rather than on redundancy for supply chain failures. Our research presents several interesting and useful managerial insights for deciding what strategies are most capable of mitigating risks in a variety of contexts.