Search

Purpose – In the controlled environment of a professional business seminar, the paper collects data on the willingness of participants to strategically default on a mortgage that is underwater by varying degrees. By providing the participants with fabricated exogenous strong and weak information signals, the paper is able to examine the effect of the signals on their responses. The purpose of this paper is to find evidence suggesting that gender, moral opposition, level of susceptibility to information, and information signal strength influence herding in business professionals. Design/methodology/approach – The paper adopts the Hirshleifer and Hong Teoh (2003) definition of herding as “any behavior similarity/dissimilarity brought about by the interaction of individuals.” In the controlled environment of a professional business seminar, the paper collects data on the willingness of participants to strategically default on a mortgage that is underwater by varying degrees. By providing the participants with fabricated exogenous strong and weak information signals, the paper is able to examine the effect of the signals on their responses. Findings – The major contribution is that the paper finds evidence suggesting that signal strength does indeed matter. The paper finds that a weak signal is more likely to produce herding when respondents answer questions relating their own decisions and strong signals produce more herding when respondents provide advice to others. The paper also finds that women are less likely to herd and people who report they are susceptible to information influences are more likely to herd. Not surprisingly, participants who are morally opposed to strategic default are less likely to herd in most scenarios. Originality/value – No other study of which the authors are aware looks specifically at signal strength in a financial setting or uses a sample of business professionals to examine herding of a financial nature.

Purpose – Agent-based modelling and simulation (ABMS) has seen wide-spread success through its applications in the sciences and social sciences over the last 15 years. As ABMS is used to model more and more complex systems, there is going to be an increase in the number of input variables used within the simulation. Any uncertainty associated with these input variables can be investigated using sensitivity analysis, but when there is uncertainty surrounding several of these input variables, a single parameter sensitivity analysis is not adequate. Latin hypercube sampling (LHS) offers a way to sample variations in multiple parameters without having to consider all of the possible permutations. This paper introduces the application of LHS to ABMS via a case study that investigates the mortgage foreclosure contagion effect. This paper aims to discuss these issues. Design/methodology/approach – Traditionally, uncertainty surrounding a single input variable is investigated using sensitivity analysis. That is, ...

Using an instant response device within the context of a controlled experiment, we find that people’s self‐assessment of susceptibility to normative influence (SNI) differs substantially from the actual, or true, degree to which they are influenced by the actions of others. Actual SNI, a subconscious reaction to the behavior of those around us, can be altered when participants (falsely) believe their peers differ in their willingness to sign a new lease under various rental reduction incentives when their landlord has defaulted on his mortgage. The results are insensitive to eight alternative measures of actual SNI. This study supports the behavioral finance literature relating to herding in that we show people are very much willing to follow the lead of their peers, even in situations where information gain is not the likely derived benefit. Instead, people appear to herd in our study for social reasons.

PurposeThis paper aims to examine whether rental premiums accrue to environmentally certified class “A” office buildings and, further, to what extent such premiums vary with the political ideology of the local market area.Design/methodology/approachUsing standard ordinary least squares (OLS) regression techniques, the paper models rental rates on environmentally certified structures as a function of the space market characteristics, economic environment, and political ideology within each local market area.FindingsThe paper finds significant variation in environmentally certified rental premiums across jurisdiction‐specific political ideology metrics. Specifically, politically liberal locations exhibit green rental premiums of nearly 6 percent, while politically conservative locations exhibit premiums of less than 2 percent.Originality/valueThis paper expands the existing literature by offering further evidence of positive rental premiums accruing to environmental certification, and by systematically exploring the fundamental determinants of these observed value differences.

Purpose – This study examines whether or not holding a greater percentage of real assets significantly impacts the risk and risk‐adjusted return of U.S. based multinational companies. Design/methodology/approach – A series of rolling Two Stage Least Squares (2SLS) regression models are used to analyse the relationships among corporate real assets, systematic risk (beta), and risk‐adjusted return. Findings – The results of this study show that U.S. based multinational companies do have lower betas. However, U.S. based multinational companies’ cross border real asset holdings do not affect diversification and do not provide significantly higher risk‐adjusted returns to stockholders. Originality/value – This study builds upon the prior work of Seiler, Chatrath and Webb to consider multinational firms. This had never been done previously.

Given the paucity of good international unsecuritized real estate data and the growing interest in diversifying real estate only and mixed‐asset portfolios beyond national borders, this study introduces an unsecuritized Japanese total return index for office real estate dating back to 1970. Moreover, this study analyses risk and return characteristics and compares them with the risk and return characteristics of US domestic unsecuritized office real estate. The results indicate that first, National Council of Real Estate Investment Fiduciaries (NCREIF) and the Mitsubishi Trust and Banking Corporation and IKOMA Data Service System Co. Ltd (MTB‐IKOMA) geographic region returns are generally from a normal distribution, although neither is without exception; second, all ten sub‐indices suffer from autocorrelation at two or three lags even after lower‐order effects have been removed; third, returns in Japan are historically higher, although so too are the risks; and most importantly fourth, while returns within Japan and the USA, separately, are highly correlated, correlation between Japan and the USA is quite low. In sum, given the results of this study, it is likely that Japanese unsecuritized real estate could be used to diversify international real estate only, and mixed‐asset portfolios.

Traces the history of the Community Reinvestment Act (CRA), which requires US lenders to meet the credit needs of their local customers, and presents a study of its effect on profitability. Looks at financial institutions which received revized CRA ratings between 1990 and 1995, analysing their characteristics before and after revision, and finds upgraded banks hold more loans and are likely to be either rapidly growing and/or reaching deeper into the pool of applicants. Goes on to show that interest on CRA‐related loans is lower than on others, i.e. profitability is reduced and risk increased. Concludes that although CRA activities may open new markets and build new skills for lenders, their costs are likely to exceed their benefits for most institutions.

Outlines previous research on reasons for the many failures of US thrifts and loans during the 1980s, and suggests that crime played a larger part than is generally supposed. Explains the regulatory system set up to deal with failed thrift institutions and analyses all disposals made by the Resolution Trust Corporation between 1989 and 1995, including its referrals for criminal investigation. Shows for each year and in total the proportions disposed of by insured deposit transfers, pay‐outs and purchase and assumption contracts; the value of assets/liabilities involved; and the cost of resolution to the taxpayer. Goes on to show that the failed thrifts affected by criminal activity (almost half!) accounted for almost 80 per cent of total resolution costs and were more likely to be larger institutions. Contrasts these results with previous research, recognizes the limitations of the study and calls for further investigation.

Reviews previous research on the announcement effects of changes in US Federal Reserve policies and presents a study of the impact of federal funds rate and discount rate changes since the current chairman took office (1988) on the treasury bills/bonds and stock markets. Uses event study methodology to show that there is no significant effect on cumulative excess returns for any of the three markets, although the treasury bill market displayed the greatest reaction; and that market reactions were similar for either type of rate change.

Refers to previous research on the relationship between returns for different asset classes and on cointegration; and applies Johansen’s (1988) methodology to develop a prediction model. Uses 1978‐1995 data on five US asset classes (treasury bills, long‐term bonds, large capitalization common stocks, unsecuritized real estate and securitized real estate equity) to investigate cointegration between them. Shows that the index of unsecuritized real estate is positively related to treasury bills and negatively related to long‐term bonds and securitized real estate; and that returns for it can be forecast more accurately by using VECM models rather than unrestricted VAR models. Considers the implications for portfolio allocation, compares the results with other research fundings and calls for further research.

This study examines the historical return behavior surrounding foreseeable or expected special closings of the New York Stock Exchange. Pre and Post special closing return behavior supports no existing hypothesis, but instead clearly demonstrates a new pre and post special closing effect similar to the pre and post holiday effect found by Ariel (1990, 1987).

Despite its shortcomings, the IRR method continues to be a widely employed evaluation technique in capital budgeting. This paper demonstrates the reasons for its continued popularity. Specifically, the non‐requirement of a discount rate is suggested to be an important factor in the choice of IRR over the NPV criterion. A major implication is that managers face a very elusive, or stochastic, discount rate for NPV analysis. Thus, the aversion to NPV may go beyond simple aesthetics.

Arditti (1973) was the first article to discuss the weighted average cost of capital (WACC). Since then, numerous papers have fine tuned the exact definition and interpretation of the WACC and how it can be used in capital budgeting as a cutoff rate [Ang (1973), Babcock (1985), Ben‐Horin (1979), and Miles and Ezzell (1980)]. To date, however, no article has quantified the magnitude and frequency of capital budgeting errors. The purpose of the article is to show the significance and frequency of errors that will occur when the WACC is even slightly miscalculated.