On the pricing of real estate index linked swaps

In this paper we discuss the pricing of commercial real estate index linked swaps (CREILS). This particular pricing problem has been studied by Buttimer et al. in a previous paper in this journal (6 [1997]: 16). We show that their results are only approximately correct and that the true theoretical price of the swap is in fact equal to zero. This result is shown to hold regardless of the specific model chosen for the index process, the dividend process, and the interest rate term structure. We provide an intuitive economic argument as well as a full mathematical proof of our results. In particular we show that the nonzero result in the previous paper is due to two specific numerical approximations introduced in that paper, and we discuss these approximation errors from a theoretical as well as from a numerical point of view.     

Preventing Customer Churn in the Mobile Telecommunication Industry: Is Mobile Money Usage the Missing Link?

The paper examines the influence of mobile money usage on customer continuance intention (CCI). The study conveniently sampled 507 mobile money users to test the research model using PLS-SEM. Satisfaction, trust and active usage of mobile money were found to influence CCI. Active usage of mobile money was also confirmed as a mediator in the relationship between satisfaction and trust, on customer continuance. The study thus validated a theoretical model of customer continuance intention as it relates to mobile money usage. It has also provided a new perspective on managing customer churn in an emerging market.     

iSDS: a self-configurable software-defined storage system for enterprise

ABSTRACT

Storage is one of the most important aspects of IT infrastructure for various enterprises. But, enterprises are interested in more than just data storage; they are interested in such things as more reliable data protection, higher performance and reduced resource consumption. Traditional enterprise-grade storage satisfies these requirements at high cost. It is because traditional enterprise-grade storage is usually designed and constructed by customised field-programmable gate array to achieve high-end functionality. However, in this ever-changing environment, enterprises request storage with more flexible deployment and at lower cost. Moreover, the rise of new application fields, such as social media, big data, video streaming service etc., makes operational tasks for administrators more complex. In this article, a new storage system called intelligent software-defined storage (iSDS), based on software-defined storage, is described. More specifically, this approach advocates using software to replace features provided by traditional customised chips. To alleviate the management burden, it also advocates applying machine learning to automatically configure storage to meet dynamic requirements of workloads running on storage. This article focuses on the analysis feature of iSDS cluster by detailing its architecture and design.     

Inertia Risk: Improving Economic Models of Catastrophes*

We model endogenous catastrophic risk in a new way. We call it “inertia risk”, which accounts for delays between physical variables and the hazard rate – a characteristic often observed in reality. The added realism significantly affects optimal policies relative to the standard model of catastrophic risk. The probability of a catastrophe occurring at some point in time can span the entire interval [0,1], and is not 0 or 1 as is typical in standard models. Inertia risk can also generate path dependences. We illustrate the implications for policy in a simple model of climate change.     

Lost and found: Individual differences in propensity to process visual elements of persuasion

Visual processing style, defined as the relative propensity to engage in visual processing rather than verbal processing, is an individual difference variable that has been frequently investigated in the consumer psychology literature. Surprisingly, numerous studies have reported no relationship between visual processing style and viewer responses to visual elements of persuasion. We argue that this accumulation of null results is due to untenable historical theoretical assumptions that underlie the construct, along with methodological problems that are inevitably brought about by those theoretical assumptions. We reconceptualize visual processing style and test an alternative empirical operationalization of it. Using both new data and a reanalysis of data published in the Journal of Consumer Research, we find the old approach yields null results, but we find the new approach yields the expected results. The new approach reinstates the utility of incorporating propensity to engage in visual processing as an individual difference variable into consumer psychology models of visual persuasion, and it reinstates a powerful individual difference variable that can help push forward the investigation of the unique aspects of visual persuasion.     

Estimating Key Economic Variables: The Policy Implications

The current monetary policy debate has focused on current estimates and the future path of the natural rate of unemployment and the equilibrium interest rate. Estimates of the natural rate of unemployment should vary over time with changes in demographics and improvements in human capital. However, these changes should be gradual. This paper shows that the estimates of the natural rate of unemployment by Federal Reserve officials and private-sector economists seem to move pro-cyclically, potentially showing too much weight given to short-term fluctuations in economic variables. As with the natural rate, there are good reasons to expect the equilibrium interest rate to change over time. In fact, the level may actually be more responsive to current economic data, reflecting changes in aggregate savings and investment. Yet, we see that equilibrium interest rate estimates by both Federal Reserve officials and private-sector economists have declined quite dramatically over the past five years. A potential concern raised in this paper is that estimates of these critical economic variables for policy determination appear to be overly sensitive to high frequency economic data.     

Design and implementation of the Expanded Public Works Programme: Lessons from the Gundo Lashu labour-intensive programme

This article examines the design and implementation of the Expanded Public Works Programme, drawing from the lessons of the Gundo Lashu programme on labour-intensive construction in the road sector. The aim of the study was to examine major barriers to the design and implementation of the programme. The article is based on the analysis of data that were gathered from the Gundo Lashu programme. The data were collected using a structured questionnaire, face-to-face interviews with the project participants as well as reviewing key secondary data from the project documents. The study found that the projects under the Gundo Lashu programme have clearly demonstrated the importance of labour-intensive approaches, especially in the road sector. However, these projects were constrained by a wide range of challenges, ranging from a lack of community participation to poor product quality and inadequate planning for sustainable financing.     

Coordination and learning in games with strategic substitutes and complements

This paper experimentally compares the impact of the presence of strategic substitutes (GSS) and complements (GSC) on players’ ability to successfully play equilibrium strategies. By exploiting a simple property of the ordering on strategy spaces, our design allows us to isolate these effects by avoiding other confounding factors that are present in more complex settings, such as market games. We find that the presence of strategic complementarities significantly improves the rate of Nash play, but that this effect is driven mainly by early rounds of play. This suggests that GSS may be more difficult to learn initially, but that given sufficient time, the theoretically supported globally stable equilibrium offers a good prediction in both settings. We also show that increasing the degree of substitutability or complementarity does not significantly improve the rate of Nash play in either setting, which builds on the findings of previous studies.