Impact of website characteristics on relationship quality: a comparison of banks financial cooperatives

This study seeks to investigate differences exhibited by bank customers and members of financial cooperatives respecting website characteristics (website design, convenience, information quality, ease of use and security/confidentiality) and their impact on online relationship quality (composed of trust, commitment and satisfaction). An online survey was conducted with 476 banking sector customers (banks and financial cooperatives), followed by a confirmatory factors analysis and multigroup analysis using EQS 6.2 software. Results evidence a significant difference in terms of website design and security/confidentiality. The impact of these variables on relationship quality proves significantly higher in the case of banks. This study submits that web strategies used by banks and financial cooperatives to develop online relationship quality may vary based on the type of organization.     

Small-time ruin for a financial process modulated by a Harris recurrent Markov chain

We consider a nonstandard ruin problem where: (i) the increments of the process are heavy-tailed and Markov-dependent, modulated by a general Harris recurrent Markov chain; (ii) ruin occurs when a positive boundary is attained within a sufficiently small time. Our main result provides sharp asymptotics for the small-time probability of ruin, viz., P(sup? _{n≤δ u} S _n ≥u), where {S _n } denotes the discrete partial sums of the process and δ∈(0,1/μ), where μ is the mean drift. We apply our results to obtain risk estimates which quantify, e.g., repetitive operational risk losses or the extremal behavior for a GARCH(1,1) process.     

Examining the impact of the attractiveness of alternatives on customers’ perceptions of price tolerance: Moderation and mediation analyses

The current literature provides mixed support for the positive influence of competitors on customers’ perceptions of price tolerance (Herrmann et al, Psychology & Marketing, 2004 21(7), 533–551). This paper examines a number of mediators and moderators of this relationship, such as positive switching barriers, negative switching barriers and customer satisfaction. A total of 162 valid responses was collected from the financial brokerage context by means of a random sample. The data were analysed using the Partial-least square (PLS) approach to structural equation modelling. The findings show that customers’ satisfaction with the service provider partially mediates the positive effect of alternatives on price tolerance. Negative, not positive, switching barriers were found to weaken the effect on price tolerance of the attractiveness of alternatives.     

When noise trading fades,volatility rises

We hypothesize and test an inverse relation between liquidity and price volatility derived from microstructure theory. Two important facets of liquidity trading are examined: volume and noisiness. As represented by the expected turnover rate (volume) and realized average commission cost per share (noisiness) of NYSE equity trading, both facets are found negatively associated with the ex post and ex ante return volatilities of the NYSE stock portfolios and the NYSE composite index futures. Furthermore, the inverse association between noisiness and volatility is amplified in times of market crisis. The negative noisiness–volatility relation is also supported by our analysis on the effects of trade size on price volatility. The overall results demonstrate that volatility increases as noise trading declines.     

Towards a better understanding of mobile banking: the impact of customer experience on trust and commitment

In the current context of ubiquitous connectedness through portable mobile devices and services, it is important to comprehend more fully the nature of consumer/bank interactions and relationships. At the same time, firms in the service sector are trying to provide customers with impactful positive experiences. This article examines the impact of mobile banking experience on trust and commitment based on the customer experience dimensions defined by Schmitt and expanded to include the negative aspect of the affective dimension. A total of 396 panellists of a recognized Canadian research firm responded to a self-administered online questionnaire. Findings demonstrate that the cognitive and negative affective dimensions of mobile experience impact trust, whereas the positive affective/sensory dimension influences commitment. The behavioural and social dimensions do not have significant impacts. This study enriches the theoretical corpus of knowledge in customer experience, relationship marketing and m-banking literature, lending practical implications for mobile services managers. Financial institutions, for example, should offer sensory mobile applications designed to appeal to the eye or to the touch (positive affective/sensory dimension), provide tools and information intended to arouse user curiosity and provoke reflection (cognitive dimension), while avoiding negative experiences which can lead to damaging feelings/emotions such as disappointment and anger (negative affective dimension).     

Quadratic minimization with portfolio and terminal wealth constraints

We address a problem of stochastic optimal control drawn from the area of mathematical finance. The goal is to minimize the expected value of a general quadratic loss function of the wealth at close of trade when there is a specified convex constraint on the portfolio over the trading interval, together with a specified almost-sure lower-bound on the wealth at close of trade. We use a variational approach of Rockafellar which leads naturally to an appropriate vector space of dual variables, a dual functional on the space of dual variables such that the dual problem of maximizing the dual functional is guaranteed to have a solution (i.e. a Lagrange multiplier) when a simple and natural Slater condition holds for the terminal wealth constraint, and obtain necessary and sufficient conditions for optimality of a candidate wealth process. The dual variables are pairs, each comprising an Itô process paired with a member of the adjoint of the space of essentially bounded random variables measurable with respect to the event \(\sigma \)-algebra at close of trade. The necessary and sufficient conditions are used to construct an optimal portfolio in terms of the Lagrange multiplier. The dual problem simplifies to maximization of a concave function over the real line when the portfolio is unconstrained but the terminal wealth constraint is maintained.     

Strong Increases in Downside Risk Aversion

A ranking of risk preferences is of economic interest insofar as it leads to unambiguous comparative statics predictions, and for this to be the case, the ranking must be a strict partial ordering. The ranking by greater risk aversion meets this demand at the second order, and yields a variety of well-known predictions concerning the effect of greater risk aversion on demands for insurance and risky assets, among many other applications. There has been less success at the third order, where ranking preferences by aversion to downside risk has not produced a strict partial ordering. The problem is that account has not been taken of the fact that an increase in downside risk aversion must induce changes in risk aversion as well. We propose a definition of stronger downside risk aversion that does yield a strict partial ordering by requiring a nested increase in both second- and third-order risk aversion, so that v is more strongly downside risk averse than u if v is more risk averse and more downside risk averse than u. We demonstrate that v being more strongly downside risk averse than u is characterized by v never liking any change in the probability distribution for y that induces a third-order stochastic dominance deterioration in the distribution for u(y). We apply the definition to obtain intuitive comparative statics predictions in the precautionary saving problem, and relate the definition to alternatives proposed in the literature.     

Quadratic minimization with portfolio and intertemporal wealth constraints

We address a problem of stochastic optimal control motivated by portfolio optimization in mathematical finance, the goal of which is to minimize the expected value of a general quadratic loss function of the wealth at close of trade when there is a specified convex constraint on the portfolio, together with a specified almost-sure lower-bound on intertemporal wealth over the full trading interval. A precursor to the present work, by Heunis (Ann Financ 11:243–282, 2015), addressed the simpler problem of minimizing a general quadratic loss function with a convex portfolio constraint and a stipulated almost-sure lower-bound on the wealth only at close of trade. In the parlance of optimal control the problem that we shall address here exhibits the combination of a control constraint (i.e. the portfolio constraint) together with an almost-sure intertemporal state constraint (on the wealth over the full trading interval). Optimal control problems with this combination of constraints are well known to be quite challenging even in the deterministic case, and of course become still more so when one deals with these same constraints in a stochastic setting. We nevertheless find that an ingenious variational approach of Rockafellar (Conjugate duality and optimization, CBMS-NSF series no. 16, SIAM, 1974), which played a key role in the precursor work noted above, is fully equal to the challenges posed by this problem, and leads naturally to an appropriate vector space of dual variables, together with a dual functional on the space of dual variables, such that the dual problem of maximizing the dual functional is guaranteed to have a solution (or Lagrange multiplier) when the problem constraints satisfy a simple and natural Slater condition. We then establish necessary and sufficient conditions for the optimality of a candidate wealth process in terms of the Lagrange multiplier, and use these conditions to construct an optimal portfolio.     

The role of electronic word of mouth,conventional media,and subjective norms on the intention to purchase <Emphasis Type="Italic">Sharia</Emphasis> insurance services

The aim of this study was to investigate the effect of electronic word of mouth (eWOM) and conventional media on subjective norms and intention to purchase Sharia insurance in Indonesian Muslim society. The research data consisted of 458 Muslim clients who were members of an online community and also policy holders of Sharia insurance in the three largest cities in Indonesia: Jakarta, Semarang, and Surabaya. This study used purposive sampling and structural equation modeling. The research showed that eWOM and conventional media can affect subjective norms. Additionally, subjective norms have a significant effect on the intention to purchase among Sharia insurance customers. This study validated the importance of the variables of eWOM and conventional media in influencing subjective norms and intention to purchase. For Sharia insurance company management, this study can serve as a very useful reference in drafting and formulating campaign strategies. This study also justifies the integrated relationship between eWOM and conventional media with subjective norms and intention to purchase Sharia insurance.     

Not everybody wants to save the world

A consumer lens is used to examine investing behavior in this study. The study focuses on the importance given by investors to their economic and social investing goals (SIG). This approach redirects managerial attention from the investment to the investor and investing goals. The study finds that differences in environmental attitude, social investing efficacy, materialism, religiosity and protected values can explain disparities in investing goals. The findings suggest a segmentation approach based on differences in antecedent effects and economic and SIG.     

The efficiency of IPO issuing mechanisms and market conditions: evidence in China

This study conducts a comparison analysis on the efficiency of bookbuilding and secondary market proportional offering (hereafter, SMP offering) in the China stock market. SMP offering as described in this paper is not a follow-on offering, but an initial offering applicable to investors in the secondary market. Specifically, as a unique type of fixed price offering, SMP offering only allows the existing investors who are holding shares (of any listed firms) in the secondary market to subscribe to IPO shares. The amount of IPO shares available to be subscribed by the existing investors is proportional to market value of shares held by them in the secondary market. We find some interesting evidence showing that, compared with bookbuilding, SMP offering is more efficient for pricing IPOs, particularly, in a volatile market. SMP offering leads to lower underpricing and lower cross-sectional variation of short-run returns of IPOs. Also, SMP offering is better able to counteract adverse market conditions in the form of low market return and/or high market volatility. Our results are robust to various alternative tests, e.g., the Heckman (Econometrica 47:153–161, 1979) two-stage procedure and an out-of-sample test, after controlling for the problem of endogeneity and for the influence of the exchange of listing, respectively.     

The Hierarchical Repeat Sales Model for Granular Commercial Real Estate and Residential Price Indices

This paper concerns the estimation of granular property price indices in commercial real estate and residential markets. We specify and apply a repeat sales model with multiple stochastic log price trends having a hierarchical additive structure: One common log price trend and cluster specific log price trends in deviation from the common trend. Moreover, we assume that the error terms potentially have a heavy tailed (t) distribution to effectively deal with outliers. We apply the hierarchical repeat sales model on commercial properties in the Philadelphia/Baltimore region and on residential properties in a small part of Amsterdam. The results show that the hierarchical repeat sales model provides reliable indices on a very detailed level based on a small number of observations. The estimated degrees of freedom for the t-distribution is small, largely rejecting the commonly made assumption of normality of the error term.     

Risk Aversion,Downside Risk Aversion and Paying for Stochastic Improvements

This paper considers the relationship between risk preferences and the willingness to pay for stochastic improvements. We show that if the stochastic improvement satisfies a double-crossing condition, then a decision maker with utility v is willing to pay more than a decision maker with utility u, if v is both more risk averse and less downside risk averse than u. As the condition always holds in the case of self-protection, the result implies novel characterizations of individuals’ willingness to pay to reduce the probability of loss. By establishing a general result on the correspondence between an individual's willingness to pay, and his optimal purchase of stochastic improvement when there is a given relationship between stochastic improvements and the amount paid for them, we further show that all results on the willingness to pay can be applied directly to characterize the conditions under which a more risk averse individual will optimally choose to buy more stochastic improvement. Generalizations of existing results on optimal choice of self-protection can be obtained as corollaries.     

Effects of perceived cost,service quality,and customer satisfaction on health insurance service continuance

This paper aims to contribute to the universal discourse on financial services continuance behavior by examining the impact of service cost on customers’ service-quality perception and service continuance intention. It presents the results of an empirical study that has explored the impacts of service cost, service quality, and customer satisfaction on health insurance customers’ behavioral intention toward continuing or discontinuing with their service providers. Very few studies had examined the impact of service cost on service-quality perception. Our study attempts to fill that gap. A sample of 820 customers was surveyed, and 624 usable responses were analyzed with ANOVA, standard multiple regression, and logistic regression. Our findings indicate that, although highly satisfied health insurance customers will most likely retain their current service providers, customer dissatisfaction does not necessarily lead to discontinuance. Our results also provide some operational implications for health insurance managers, with strategies for reducing attrition and improving customer retention.     

Taste,information, and asset prices: implications for the valuation of CSR

Firms often undertake activities that do not necessarily increase cash flows (e.g., costly investments in corporate social responsibility or CSR), and some investors value these non cash activities (i.e., they have a “taste” for these activities). We develop a model to capture this phenomenon and focus on the asset-pricing implications of differences in investors’ tastes for firms’ activities and outputs. Our model shows that, first, investor taste differences provide a basis for investor clientele effects that are endogenously determined by the shares demanded by different types of investors. Second, because the market must clear at one price, investors’ demands are influenced by all dimensions of firm output even if their preferences are only over some dimensions. Third, information releases cause trading volume, even when all investors have the same information. Fourth, investor taste provides a rationale for corporate spin-offs that help firms better target their shareholder bases. Finally, individual social responsibility can lead to corporate social responsibility when managers care about stock price because price reacts to investments in CSR activities.     

A differential evolution copula-based approach for a multi-period cryptocurrency portfolio optimization

Recent years have seen a growing interest among investors in the new technology of blockchain and cryptocurrencies and some early investors in this new type of digital assets have made significant gains. The heuristic algorithm, differential evolution, has been advocated as a powerful tool in portfolio optimization. We propose in this study two new approaches derived from the traditional differential evolution (DE) method: the GARCH-differential evolution (GARCH-DE) and the GARCH-differential evolution t-copula (GARCH-DE-t-copula). We then contrast these two models with DE (benchmark) in single and multi-period optimizations on a portfolio consisting of five cryptoassets under the coherent risk measure CVaR constraint. Our analysis shows that the GARCH-DE-t-copula outperforms the DE and GARCH-DE approaches in both single- and multi-period frameworks. For these notoriously volatile assets, the GARCH-DE-t-copula has shown risk-control ability, hereby confirming the ability of t-copula to capture the dependence structure in the fat tail.     

Mobile banking innovators and early adopters: How they differ from other online users?

The rapid pace of technological development has created opportunities for financial service providers to offer their services via multiple electronic channels. The mobile phone is one of the most promising but so far marginally adopted channel for using financial services by consumers. Earlier literature on innovation adoption argued that those among the first to adopt new innovations possess unique characteristics compared to the majority of consumers. This paper aims to study how mobile banking innovators and early adopters differ from other users of online banking services. An internet survey was conducted among customers of a large Scandinavian bank in Finland yielding 2,675 responses. Logistic regression was used to identify variables differentiating between users of mobile banking and other online banking services. Somewhat contradictory to earlier findings the results indicate that only age (p<0.0005) and gender (p=0.010) differentiate these two groups of customers, while education (p=0.957), income (p=0.624), occupation (p=0.596) and size of the household (p=0.151) were found to be insignificant in differentiating the groups. The results offer service providers better knowledge of the typical mobile banking user thus adding value to their marketing actions in the field of electronic banking.     

Enhancement of value investing strategies based on financial statement variables: the German evidence

This paper examines the added-value of combining traditional valuation ratios with each other as well as with some financial statement variables in the German stock markets during the 2000–2015 period. The results show that combination pays off and, moreover, that the benefits of combination are greater in Germany than in most other developed stock markets. Particularly, we find strong evidence of the added-value of using Piotroski’s F-score as a supplementary selection criterion for value stocks as well as for low-accrual stocks. Our results show further that the F-score also boosts the efficacy of other valuation ratios besides the book-to-price ratio. In addition, the inclusion of F-score besides a relative value measure tends to increase the average market equity of portfolio firms. The decomposition of the full-sample-period performance into separate bull- and bear-period performance shows clearly that the better performance of F-score-boosted portfolios is mostly attributable to their outperformance during bearish periods, even though on average, they also generate higher bull-period returns than the comparable value portfolios formed without F-score. The use of F-score as a supplementary criterion also increases the proportion of stocks that earn above-market-average returns during the subsequent holding period. For the first time in the financial literature, we also document a strong relationship between high F-score stocks and momentum stocks.     

Using Google Scholar citations to rank accounting programs: a global perspective

We conduct an assessment on accounting program research performance based on Google Scholar citations for all articles from a set of 23 quality accounting journals during 1991–2010. Our work is a new approach in accounting by directly measuring the impact of the faculty research in accounting programs. We find that the top-5 accounting programs are the University of Pennsylvania, the University of Chicago, Stanford University, the University of Michigan, and Harvard University. These top programs produce a large number of high impact articles. In addition, using the mean citations from all articles in a journal, we find that the Review of Accounting Studies (RAST) is a top-5 journal, replacing Contemporary Accounting Research (CAR).     

The impact of SEC investigations and accounting and auditing enforcement releases on firms’ cost of equity capital

I study the impact of an SEC investigation (as captured by accounting and auditing enforcement releases) on a firm’s cost of equity capital. AAERs are often used in accounting literature as a proxy for fraudulent financial reporting. Fraudulent financial reporting should lead to an increase in cost of equity capital as a firm’s future cash flows become less certain. Overall, this study provides evidence of changes in cost of equity capital for firms targeted by an SEC AAER on the date the investigation is first made public.