The relationship between risk experience and risk response: a study of farmers and climate change

Within the existing literature, the role of experience of risk on attitudinal and behavioural risk response has been relatively neglected. Recent research that draws on the psychological distance of climate change as a concept notes the importance of local, significant experience as a driver for encouraging appropriate response. The experience of flooding was used as the stimulus in this paper, and emphasis placed on whether direct and/or indirect experience of flood risk is associated with different responses to climate change risk. In order to explore the relationship between climate change risk experience and response in the form of on-farm mitigation and adaptation, this paper draws on a case study of farmers in England, many of whom have experienced flooding. Results from a quantitative survey undertaken with 200 farmers in Gloucestershire, England are discussed. Statistical analysis found experience of flooding to be significantly associated with a heightened concern for climate change. Although also finding an association between experience and behavioural response, the sample were most likely to be taking adaptive behaviour as part of normal practice, with factors such as lack of overall concern for climate change risk and absence of information and advice likely to be the main barriers to action. Risk communication needs to further emphasise the connection between climate change and extreme weather events to allow for farmers to perceive climate change as a relevant and locally salient phenomenon, and subsequent tailored information and advice should be offered to clearly illustrate the best means of on-farm response. Where possible, emphasis must be placed on actions that also enable adaptation to other, more immediate risks which farmers in this study more readily exhibited concern for, such as market volatility.     

Le Pont de Londres: Interactions between monetary and prudential policies in cross‐border lending

Using two unique confidential datasets summarizing the cross‐border lending of banks in France and the UK, we examine whether recipient‐country prudential policies can help to reduce the spillover effects of euro‐area (EA) monetary policy. We address this question from a novel angle, focused on the role of international financial centres, by considering differences in bank size and location (lending from French headquarters vs. from French affiliates located in the UK). For small French banks that lack a presence in international financial centres, the response of direct cross‐border lending from France to EA monetary policy is partially offset by recipient‐country prudential policy. For larger banks, however, the offsetting effect applies only to lending that passes through foreign affiliates located in London. This suggests the existence of a “London Bridge”: banks adapt their flows to the UK conditional on EA monetary policy and global prudential policies; and from their UK affiliates to third‐party countries in a manner that depends on local prudential settings.     

Economic modelling of costs associated with outcomes reported for type 2 diabetes mellitus (T2DM) patients in the CANVAS and EMPA-REG cardiovascular outcomes trials

Aims: To model direct medical costs associated with reductions in cardiovascular disease (CVD) events in T2DM patients reported in the CANVAS and EMPA-REG trials, which assessed the cardiovascular safety of canagliflozin and empagliflozin, respectively.

Materials and methods: Costs were modeled from a US managed care organization (MCO) perspective for the CVD outcomes included in both trials: three-point major adverse cardiovascular event (MACE) and its components (cardiovascular-related death, nonfatal myocardial infarction, nonfatal stroke), as well as heart failure requiring hospitalization. The rate of CVD events averted (difference between study drug and placebo) was projected to the portion of an MCO T2DM population matching the respective trial’s inclusion criteria. A targeted literature search for paid amounts directly associated with each CVD event provided the unit costs, which were applied to the projected number of events averted, to calculate costs avoided per member per year (PMPY). One-way sensitivity analyses were performed on events averted, unit costs, and percentages of trial-applicable patients.

Results: Based on three-point MACE events averted, costs avoided PMPY of $6.17 (range: $1.27–$10.94) for CANVAS and $2.75 ($0.19–$4.83) for EMPA-REG were estimated. Costs avoided for individual components of MACE ranged from $0.77 to $3.84 PMPY for CANVAS and from -$0.97 (additional costs) to $1.54 for EMPA-REG. PMPY costs avoided for heart failure were $2.72 for CANVAS and $1.32 for EMPA-REG.

Limitations and conclusions: Models assumed independent, non-recurrent outcomes and were restricted to medical costs directly associated with the trial-reported events. The reductions in CVD events in T2DM patients reported for both CANVAS and EMPA-REG project to a positive cost avoidance for these events in an MCO population. The analysis did not include an assessment of the impact on total cost, as the costs associated with adverse events, drug utilization or other clinical outcomes were not examined.     

Combining Bond Rating Forecasts Using Logit

Companies sometimes use statistical analysis to anticipate their bond ratings or a change in the rating. However, different statistical models can yield different ratings forecasts, and there is no clear rule for which model is preferable. We use several forecasting methods to predict bond ratings in the transportation and industrial sectors listed by Moody's bond rating service. A variant of the ordered‐logit regression‐combining method of Kamstra and Kennedy 1998 yields statistically significant, quantitatively meaningful improvements over its competitors, with very little computational cost.     

Make my memory: How advertising can change our memories of the past

Marketers use autobiographical advertising as a means to create nostalgia for their products. This research explores whether such referencing can cause people to believe that they had experiences as children that are mentioned in the ads. In Experiment 1, participants viewed an ad for Disney that suggested that they shook hands with Mickey Mouse as a child. Relative to controls, the ad increased their confidence that they personally had shaken hands with Mickey as a child at a Disney resort. The increased confidence could be due to a revival of a true memory or the creation of a new, false one. In Experiment 2, participants viewed an ad for Disney that suggested that they shook hands with an impossible character (e.g., Bugs Bunny). Again, relative to controls, the ad increased confidence that they personally had shaken hands with the impossible character as a child at a Disney resort. The increased confidence is consistent with the notion that autobiographical referencing can lead to the creation of false or distorted memory. © 2002 John Wiley & Sons, Inc.     

Women,work and Web 2.0: a case study

This article examines the opportunities and obstacles facing female information technology (IT) professionals holding ‘hybrid’ or ‘mixed skill’ positions in the Web 2.0 era. The author presents data from a case study to argue that choices of career pathways, technical skill set, age and experience are factors that affect career progression and job satisfaction in a masculinist culture of computing.     

Is it the weather? Comment

This comment discusses some errors in a recent paper by Jacobsen and Marquering [Jacobsen, B., Marquering, W., 2008. Is it the weather? Journal of Banking and Finance 32 (4), 526–540], in which the authors challenge our previous finding that stock market returns exhibit seasonal patterns consistent with the influence of seasonal affective disorder on investor risk aversion. We find that we cannot replicate the authors’ findings, even after corresponding with them. Furthermore, we document several problems with their methodology, including misspecification of their economic model, misspecification of their econometric model, and use of inappropriate data. While we agree that seasonal affective disorder is not an explanation for all variation in equity markets, we do maintain that careful analysis leads to economically and statistically significant evidence of the effect we originally documented.     

A careful re-examination of seasonality in international stock markets: Comment on sentiment and stock returns

In questioning Kamstra, Kramer, and Levi’s (2003) finding of an economically and statistically significant seasonal affective disorder (SAD) effect, Kelly and Meschke (2010) make errors of commission and omission. They misrepresent their empirical results, claiming that the SAD effect arises due to a “mechanically induced” effect that is non-existent, labeling the SAD effect a “turn-of-year” effect (when in fact their models and ours separately control for turn-of-year effects), and ignoring coefficient-estimate patterns that strongly support the SAD effect. Our analysis of their data shows, even using their low-power statistical tests, there is significant international evidence supporting the SAD effect. Employing modern, panel/time-series statistical methods strengthens the case dramatically. Additionally, Kelly and Meschke represent the finance, psychology, and medical literatures in misleading ways, describing some findings as opposite to those reported by the researchers themselves, and choosing selective quotes that could easily lead readers to a distorted understanding of these findings.     

A new dividend forecasting procedure that rejects bubbles in asset prices: the case of 1929's stock crash

We develop a new procedure to forecast future cash flows froma financial asset and then use the present value of our cashflow forecasts to calculate the asset's fundamental price. Asan example, we construct a nonlinear ARMA-ARCH-Artificial NeuralNetwork model to obtain out-of-sample dividend forecasts for1920 and beyond, using only in-sample dividend data. The presentvalue of our forecasted dividends yield fundamental prices thatreproduce the magnitude, timing, and time-series behavior ofthe boom and crash in 1929 stock prices. We therefore rejectthe popular claim that the 1920s stock market contained a bubble.