U.S. presidential cycles and the foreign exchange market

We examine the association between the foreign exchange rate of the US dollar and US presidential cycles. Results show that Republican presidencies tend to start with a strong dollar, which then depreciates over the course of the presidency. In contrast, Democratic presidencies tend to begin with a weak dollar that then appreciates. These patterns result in an apparent presidential effect in US foreign exchange rates, the direction of which depends on whether exchange rates are measured by levels or by returns.     

Dealer financial conditions and lender-of-last-resort facilities

We examine the financial conditions of dealers that participated in two of the Federal Reserve's lender-of-last-resort (LOLR) facilities—the Term Securities Lending Facility (TSLF) and the Primary Dealer Credit Facility (PDCF)—that provided liquidity against a range of assets during 2008–2009. Dealers with lower equity returns and greater leverage prior to borrowing from the facilities were more likely to participate in the programs, borrow more, and, in the case of the TSLF, at higher bidding rates. Dealers with less liquid collateral on their balance sheets before the facilities were introduced also tended to borrow more. The results suggest that both financial performance and balance sheet liquidity play a role in LOLR utilization.     

Alliance portfolios and shareholder value in post-IPO firms: The moderating roles of portfolio structure and firm-level uncertainty

Using longitudinal data for initial public offering (IPO) firms, we examine the role played by structural differences between different types of alliance portfolios in the relationship between IPO firm alliance portfolios and shareholder returns. We show that because of the different signals they send to the capital market, different types of alliance portfolios affect IPO firm performance differently. Namely, financial markets seem to reward firms whose alliance portfolio is diversified across different types of alliances (a portfolio high in functional diversity), but not those who align their alliance partners into multiple functional points in the value chain (a portfolio high in vertical scope). We also examine the signaling role of alliance portfolios under different IPO firm uncertainty conditions. We note that uncertainty about the IPO firm is not limited to pre-IPO quality uncertainty. Investors also face transition uncertainty, post-IPO uncertainty about the ability of the firm to adapt to the new managerial challenges it faces and succeed post-IPO. We find that these two types of uncertainties moderate alliance portfolio effects in different ways. The beneficial effects of alliance portfolios in mitigating liabilities of newness is of greater importance for firms associated with higher quality uncertainty and for those associated with lower transition uncertainty.     

Time variation in the correlation structure of exchange rates: high‐frequency analyses

The correlation structure of asset returns is a crucial parameter in risk management as well as in theoretical finance. In practice, however, the true correlation structure between the returns of assets can easily become obscured by time variation in the observed correlation structure and in the liquidity of the assets. We employed a time‐stamped high‐frequency data set of exchange rates, namely, the US$–deutsche mark and the US$–yen exchange rates, to calibrate the observed time variation in the correlation structure between their returns. We also documented time variation in the liquidity structure of these rates. We then attempted to link the observed correlations with the liquidity via an application of an illiquid trading model first developed by Scholes and Williams (1976). We show that the observed correlation structure is strongly biased by the liquidity and that it is possible to effect at least a partial rectification of the otherwise downward‐biased observed correlation. The rectified sample correlation is, therefore, more appropriate for input into models used for forecasting, option pricing, and other risk management applications. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:127–144, 2001     

Islamic and Conventional Equity Market Movements During and After the Financial Crisis: Evidence from the Newly Launched MSCI Indices

This paper examines the relationship between the Islamic and conventional equity indices by employing the newly launched MSCI Global Islamic Indices which began in 2008. We argue for the case of cointegration supported by fundamental, category and habitat theories, and against cointegration due to the fundamental difference between Islamic and conventional stocks in terms of debt ratio, accounts receivable and interest bearing securities. We find Islamic and conventional equity markets move together despite fundamental differences and given that market microstructure, dividends, capital gains, taxation and governance systems are different across the markets. Almost simultaneous movement of the permanent and cycle components of Islamic and mainstream equity indices has been supported by the application of the Beveridge Nelson (BN) time series decomposition technique. Theoretically, the volatility of Islamic equities should be lower due to their low leverage ratio. Surprisingly, permanent parts of the Islamic indices appear to be more volatile during the crisis period and less volatile during the post‐crisis period.     

QaaS (quality as a service) model for web services using big data technologies

Quality of service (QoS) determines the service usability and utility and both of which influence the service selection process. The QoS varies from one service provider to other. Each web service has its own methodology for evaluating QoS. The lack of transparent QoS evaluation model makes the service selection challenging. Moreover, most QoS evaluation processes do not consider their historical data which not only helps in getting more accurate QoS but also helps for future prediction, recommendation and knowledge discovery. QoS driven service selection demands a model where QoS can be provided as a service to end users. This paper proposes a layered QaaS (quality as a service) model in the same line as PaaS and software as a service, where users can provide QoS attributes as inputs and the model returns services satisfying the user’s QoS expectation. This paper covers all the key aspects in this context, like selection of data sources, its transformation, evaluation, classification and storage of QoS. The paper uses server log as the source for evaluating QoS values, common methodology for its evaluation and big data technologies for its transformation and analysis. This paper also establishes the fact that Spark outperforms the Pig with respect to evaluation of QoS from logs.     

Yield spreads,agency costs and the corporate bond call feature

This paper theoretically compares yields and optimal default policies for callable and non-callable corporate debt. It shows that, contrary to the conventional wisdom, it is possible for the yield spread (callable minus non-callable) to be negative. It also identifies the key determinants of the yield spread. Next, it shows that the optimal default trigger for non-callable debt is higher than the trigger for callable debt, resulting in additional default-related costs. Thus, the use of non-callable debt gives rise to an indirect agency cost of early default, which is the difference in total firm value with callable and non-callable debt. This agency cost provides a rationale for the existence of callable debt. By examining the determinants of the magnitude of this agency cost, the conditions that make callable debt more attractive (to the issuing firm) relative to non-callable debt are identified. This allows certain predictions to be made regarding the likelihood of a call feature in a corporate bond. The model's implications are supported by existing empirical studies.     

Knowledge,firm boundaries,and innovation: Mitigating the incumbent's curse during radical technological change

We explore the relationship between a firm's organization and its ability to face a radical technological change. We suggest that, during such a change, the presence of both in‐house upstream knowledge and downstream market linkages, within a firm's boundary, has its advantages. We test our predictions in the context of the robotics industry where manufacturers of mechanically controlled “brawny” robots, which were valued mainly for their payload capacity, faced the advent of electrically controlled “brainy” robots that emphasized accuracy and repeatability. We find that “preadapted” firms—the ones with prior relevant technological knowledge and with access to internal users of “brainy” robots—were the innovation leaders in the emerging new technology but were laggards in the old technology. Copyright © 2014 John Wiley & Sons, Ltd.     

Technical Progress and the North–South Terms of Trade

In a classical world where prices of both northern manufactures and southern raw materials are determined by market demand and supply, technical progress in one region leads to a terms-of-trade improvement of the other region irrespective of whether technical progress is labor-saving or raw-material saving. But in a neo-Kaleckian framework characterized by surplus capacity, and an effective demand problem in the North and a capacity constraint in the South, the terms of trade would turn against the South even if the North experienced a higher rate of technical progress than that of the South.