Frictions, Heterogeneity and Optimality in Mortgage Modeling

The purpose of this article is to provide a unified framework for incorporating frictions into a theoretical options-pricing model (OPM) for mortgages. This article presents formulation for a frictions-adjustable mortgage model that integrates borrower heterogeneity while simultaneously preserving prepayment and default financial decisions. Our model demonstrates the flexibility of the OPM by simulating separate and concurrent effects of three categories of frictions on the mortgage and mortgage components. Researchers can use our example formulation to determine the effects of specific borrower characteristics on mortgage values without destroying the options theoretic framework.     

An Investigation of the Informational Role of Short Interest in the Nasdaq Market

This paper examines the relationship between the level of short interest and stock returns in the Nasdaq market from June 1988 through December 1994. We find that heavily shorted firms experience significant negative abnormal returns ranging from −0.76 to −1.13 percent per month after controlling for the market, size, book–to–market, and momentum factors. These negative returns increase with the level of short interest, indicating that a higher level of short interest is a stronger bearish signal. We find that heavily shorted firms are more likely to be delisted compared to their size, book–to–market, and momentum matched control firms.     

ADRs,Analysts, and Accuracy: Does Cross Listing in the United States Improve a Firm's Information Environment and Increase Market Value?

This paper investigates the relation between cross listing in the United States and the information environment of non‐U.S. firms. We find that firms that cross list on U.S. exchanges have greater analyst coverage and increased forecast accuracy than firms that are not cross listed. A time‐series analysis shows that a change in analyst coverage and forecast accuracy occurs around cross listing. We also document that firms that have more analyst coverage and higher forecast accuracy have higher valuations. Furthermore, the change in firm value around cross listing is correlated with changes in analyst following and forecast accuracy, suggesting that cross listing enhances firm value through its effect on the firm's information environment. Our findings support the hypothesis that cross‐listed firms have better information environments, which are associated with higher market valuations.     

Institutional evolution as an emerging focus in scenario planning

In this paper, we argue that institutional evolution should occupy a center stage in scenario development. During the last two decades, strategy models have neglected the institutional milieu, partly because analytical approaches to link institutional milieus and business contexts were underdeveloped. However, theoretical developments in institutional economics accomplished during this time period make it possible to connect the consequences of institutional evolution to strategy development. Further, with the increasing globalization of commerce, and the attendant complexity and turbulence in institutional evolution, particularly in emerging economies, significant opportunities for strategy related action may reside not in product markets but in institutional arenas. Institution-focused scenarios are therefore increasingly needed. We outline the key linkages between the institutional milieu and business contexts and illustrate how scenarios incorporating institutional parameters can shed light on the strategy context in the case of emerging economies.     

The Effects of Attributes on the Repeat Sales Pattern of Residential Property in Hong Kong

There has been copious research work on the development of house price models and the construction of house price indices. However, results in some studies revealed that the accuracy of such indices could be subject to selection bias when using only information from a sample of sold properties to estimate value movements for the entire housing stock. In particular, estimated house price appreciation is usually systematically higher among properties that change hands more frequently. It therefore suggests that the determination of important factors affecting the transaction frequency or intensity of a housing unit should be a more fundamental research question. This paper examines the possible factors that determine the popularity of residential unit by means of a repeated sales pattern. The Poisson regression model and event history analysis techniques are employed to assess the effect of attributes on transaction frequency and intensity. The event history analyses technique can take account of transaction-specific as well as time-dependent covariates, and therefore is recommended for analyzing repeated sales data in a real estate market. All transaction records during the period 1993–2000 from the Land Registry of one of the most popular residential estates in Hong Kong were used to illustrate the method. Unlike a response to favorable transaction price, good quality units do not necessarily inherently display a high transaction frequency. Rather, units of average quality are more likely to be transactionally active.     

Fiscal deficits and inflation

Macroeconomic theory postulates that persistent fiscal deficits are inflationary. Yet empirical research has had limited success in uncovering this relationship. This paper reexamines the issue in light of broader data and a new modeling approach that incorporates two key features of the theory. Unlike previous studies, we model inflation as non-linearly related to fiscal deficits through the inflation tax base and estimate this relationship as intrinsically dynamic, using panel techniques that explicitly distinguish between short- and long-run effects of fiscal deficits. Results spanning 107 countries over 1960-2001 show a strong positive association between deficits and inflation among high-inflation and developing country groups, but not among low-inflation advanced economies.     

Fiscal Consolidation and Decentralisation: A Tale of Two Tiers*

This paper contributes to the established literature on fiscal consolidations by investigating the distinct behaviour of central and sub‐central tiers of government during general government consolidation attempts. In the light of different degrees of decentralisation across OECD countries, and the different responsibilities devolved to sub‐central tiers, we believe that this approach offers an illuminating insight into the analysis of fiscal consolidations and their success. We show that the involvement of the sub‐central tiers of government is crucial to achieving cuts in expenditure, particularly in relation to the overall size of the government wage bill. In addition, central governments appear to exert a strong influence on the expenditure of sub‐central tiers through their grant allocations, and control of these allocations appears to have a considerable impact upon the overall success of consolidation attempts. Finally, we demonstrate that there is a skewness in cuts towards sub‐central capital expenditure both when central governments cut grant allocations and when sub‐central governments engage in lone consolidation attempts.     

Machine learning in individual claims reserving

Machine learning techniques make it feasible to calculate claims reserves on individual claims data. This paper illustrates how these techniques can be used by providing an explicit example in individual claims reserving.     

Tax penalties on fluctuating incomes: estimates from longitudinal data

Progressive personal income taxes can cause individuals with fluctuating incomes to pay more taxes over time than individuals with constant incomes of the same average value. The implicit tax penalty violates principles of equity and may harm efficiency by discouraging risk-taking activities, such as entrepreneurship. This paper uses longitudinal data to estimate the tax penalties in six panels of Canadian data from 1993 to 2010. The effects of various income averaging policies for mitigating tax penalties are then examined.     

Bank net interest margins,the yield curve,and the 2007–2009 financial crisis

Using quarterly call report data from 2000 to 2016, we reexamine the relationship between net interest margins (NIM) and the yield curve for more than 5,500 U.S. commercial banks. In the full sample, yield curve and RGDP growth have positive effects on NIM, while inflation and deposit‐to‐loan ratios (D/L) have negative effects. Splitting the sample around the 2007–2009 crisis, we show the impact of yield curve and RGDP growth on NIM increasing during the “recovery” (2009Q3 to 2016Q4), and inflation and D/L changing signs. Positive effects of yield curve on profits vary with bank size and change over time.