Search results

The dynamics between five-year US Treasury bonds and interest rate swaps are examined using bivariate threshold autoregressive (BTAR) models to determine the drivers of spread changes and the nature of the lead–lag relation between the two instruments. This model is able to identify the economic – or threshold – value that market participants consider significant before realigning their portfolios. Specifically, three different regimes are identified: when the swap spread in the previous week is either high or low, the Treasury bond market leads the swap market. However, when the swap spread is low, none of the markets leads each other. Thus, yield movements are shown to be governed by the direction and magnitude of the change in the swap spread, which in turn provides an economic insight into the rebalancing between swap and bond portfolios.

The paper extends the organizational learning framework: Structural-Functional (SF)-single-loop or Conflictual-Radical (CR)-double-loop learning to the management accounting literature. The sociological approach of organizational learning is utilized to understand those contingent factors that can explain why management accounting innovations succeed or fail in organizations.

We view learning as enhancing an organization’s strategic competitive advantage by making it better able to adopt and diffuse innovation in respond to changes in its environment in order to manage improved performance. The success of management accounting innovations is contingent upon whether its learning process involves SF-single-loop or CR-double-loop learning to adopt and diffuse process innovation.

The paper suggests that the learning strategy that the organization chooses is the reason why some management accounting innovations are more successfully adopted than others and why some innovations are easily diffused in some organizations but not in others. We propose that the sociological approaches to learning provide an alternative framework with which to better understand the adoption and diffusion of process innovations in management accounting systems.

It has become evident that management accounting researchers need to pay particular attention to an organization’s approach to adoption and diffusion of innovation strategies, particularly when they are designing and implementing process innovation programs for an organization. According to Schulz (2001), there are two interrelated stages of the learning that can shape the outcome of the innovation process in an organization. The first stage is related to the acquisition/production (adoption) of knowledge that results in gathering information, codification, and exploration. This is followed by the second stage which is the distribution or dissemination (diffusion) processes. When these two stages – adoption and diffusion – are applied within an accounting context, they address issues that are commonly associated with the successes and/or failures of management accounting innovations.

Although innovation involves learning, the nature of the learning process does not completely describe the manner in which an innovation affects the organization. Accordingly, we suggest that the two interrelated organizational sociological dimensions of innovations processes, namely, (1) the adoption and diffusion theories of Rogers (1971 and 1995), to approach organizational learning, and (2) the SF (single loop) and CR (double loop) approaches to learning be used simultaneously to describe management accounting innovations.

When an innovation is implemented, it initially can be introduced as an incremental change, one that can be limited in both in its scope and its breadth of administrative changes. This means that situations which are most likely to benefit from its initiation can serve as the prototype for its adoption by the organization. If successful, this can be followed by systemic accounting innovations to instituting broader administrative changes within the existing accounting reporting and control systems.

We show that if a lead-lag relation exists between the option and spot markets, the implied volatility in option prices can be biased depending on the level of the true volatility; that is, the higher the true volatility, the more upward biased the implied volatility will be. We then test the theoretical conjecture, using intraday transactions data of the S&P 500 stock index and its options. The empirical results show that the S&P 500 index option market leads the cash index, and that the bias of the implied volatility due to the lead-lag relation is statistically significant, confirming our theoretical conjecture.

The literature on organizational learning is very rich and complex. Although most research on learning suggests that it involves individual cognitive, cultural, social, and institutional changes and development, there are slight variations in terms of the number of factors various authors associate with these changes. We discuss the work of several authors as providing a contextual framework for viewing learning as involving both the adoption and diffusion of innovations.

This chapter aims to assess how effective loyalty programs are in contributing to retaining guests for hotels. The effectiveness is measured by means of a Bass model which allows the measurement of the diffusion patterns of adopters within potential adopters. The data used to perform this model allow the depiction of the effect of geographical localization over a time frame of three years. Results suggest that the loyalty card’s acceptance was measured from the internal and external parameters, based on the concept of diffusion theory. The results indicated a need for innovation of the loyalty program from 2019. Due to the existence of several hotels with different typologies in different countries, a segmentation of clients by nationalities is suggested with a “waterfall” strategy being placed in the hotel chain loyalty program.

Today, firm performance must be measured not only on traditional metrics but also on those that reflect the changing imperatives and new metric knowledge. Thus, the focus of managers, investors, and researchers is shifting from rubrics like sales and profitability to growth as a more appropriate measure of firm performance. We aim to highlight the effects that growth of a firm can have on the level of its systematic risk. Using a sample of 203 firms across nine industries taken from the Indian manufacturing sector for a period of 17 years (1998–2014), we develop and test a panel vector autoregressive (VAR) model to analyze the causal relationship between growth aspects and systematic risk of firms. Results depict that a growth option available to firms increase their level of systematic risk and the risk decreases when firms start chasing this growth by increasing their assets in place. Sustainable growth rate, which depicts the growth potential of firms, plays an important role in reducing the level of systematic risk. The findings of this chapter are relevant to managers who think that growth is always beneficial.

This chapter used empirical data from five developed markets and five emerging markets to perform an examination of anomalies using common financial economic approaches along with more innovative econometric models. Of the methodologies used to test for anomalies, the data-driven panel and quantile regressions were empirically found to be better suited over the traditionally common approaches to describe the non-linear, switching behavior of the anomalies. In the developed markets, the statistically significant small firms (size) had the highest average returns. In the developing markets, the lower price-to-earnings (P/E) ratios (value) had the highest average returns. In addition, the research found (1) a small country effect, (2) sales had a negative relationship with returns, and (3) a lower (higher) book-to-market (B/M) was associated with higher returns in the developed (developing) markets, indicating investors received a higher premium for growth (value) equities. The semi-strong form of the efficient market hypothesis was also found to be violated. The anomalies’ behavior varied between sorted portfolios, industries, and developed to emerging markets; though it was found to be consistent through time (not disrupted by bear or bull markets).

Over the past 25 years as a marketing academic, I have been fortunate to have collaborated with various researchers and firms and have contributed to the advancement of the marketing field. This is a review article that tracks my progress through these years that has led me to explore different areas of marketing, thereby shaping me as a researcher and an academic. As I see now, all of my research work can be viewed from a decision-making point of view – decisions that marketers can make either at the market, brand/firm/store, or the customer level. These decisions have in turn been transformed into strategies or tactics leading up to successful implementations and improved bottom-line results. The development of strategies/tactics and successful implementations can be seen in nearly 10 areas of research that I have involved myself in. This article also highlights how my research studies have contributed and advanced the creation of knowledge in each of these research areas.

The KOSPI 200 options at its initial stage generated a significant number of violations in no-arbitrage conditions which involve both options and the underlying index. However, when the arbitrage conditions are formed independent of the underlying index, the average size of violation is not large and few arbitrage opportunities exist. There are more frequent violations on near-maturity days, with in-the-money options and larger violation sizes during opening and closing hours. The arbitrage opportunities remain intact even after realistic transaction costs are taken into account and index futures prices are used instead of the stock index in an alternative specification.