857 resultados para brand portfolio
Resumo:
Prior research has established that idiosyncratic volatility of the securities prices exhibits a positive trend. This trend and other factors have made the merits of investment diversification and portfolio construction more compelling. ^ A new optimization technique, a greedy algorithm, is proposed to optimize the weights of assets in a portfolio. The main benefits of using this algorithm are to: (a) increase the efficiency of the portfolio optimization process, (b) implement large-scale optimizations, and (c) improve the resulting optimal weights. In addition, the technique utilizes a novel approach in the construction of a time-varying covariance matrix. This involves the application of a modified integrated dynamic conditional correlation GARCH (IDCC - GARCH) model to account for the dynamics of the conditional covariance matrices that are employed. ^ The stochastic aspects of the expected return of the securities are integrated into the technique through Monte Carlo simulations. Instead of representing the expected returns as deterministic values, they are assigned simulated values based on their historical measures. The time-series of the securities are fitted into a probability distribution that matches the time-series characteristics using the Anderson-Darling goodness-of-fit criterion. Simulated and actual data sets are used to further generalize the results. Employing the S&P500 securities as the base, 2000 simulated data sets are created using Monte Carlo simulation. In addition, the Russell 1000 securities are used to generate 50 sample data sets. ^ The results indicate an increase in risk-return performance. Choosing the Value-at-Risk (VaR) as the criterion and the Crystal Ball portfolio optimizer, a commercial product currently available on the market, as the comparison for benchmarking, the new greedy technique clearly outperforms others using a sample of the S&P500 and the Russell 1000 securities. The resulting improvements in performance are consistent among five securities selection methods (maximum, minimum, random, absolute minimum, and absolute maximum) and three covariance structures (unconditional, orthogonal GARCH, and integrated dynamic conditional GARCH). ^
Resumo:
The traditional brand management in the hotel industry is facing a great challenge as numerous brands provide many choices to hotel guests. In such competitive environments, hotel firms realize that capitalizing on one of the most important assests they own- the brand- is critical to achieve a premier growth goal not only rapidly but also in a cost- effective way. THe purpose of this study is to examine the determinants of cutsomer-based hotel brand equity for the mid-priced U.S. lodging segment by assessing the impacts of four-widely accepted brand equity dimensions: brand awareness, brand associations, percieved quality and customer loyalty. 277 travelers participated in this study at the airport in a Midwestern city. Perceived quality, brand loyalty, brand associations were found to be the core components of brand equity, while brand awareness, a seemingly important source of brand equity, did not exert a significant influence on building brand equity of mid-priced hotels. The result of this study sheds insight about how to create, manage, and evaluate a distinctive and successful hotel brand.
Resumo:
Brands have always been associated with cruise and line voyage operations, but the branding concept has taken on new meaning in the modern cruise industry. In the consolidation of cruise lines under a few major corporate structure today, the acquiring entity has most often chosen to invest in lines acquired under their existing names, retaining separate brand identity. The author summarizes industry experiences with the acquisition and management of multiple brands under a single corporate structure, together with the rationale and advantages, this article is an updated and expanded version of that first given at the Seatrade Cruise Shipping Convention March 11, 1999.
Resumo:
Little research has been done to measure brand equity of hospitality companies. It is important for food service organizations to measure accurately their brand equity in order to manage and leverage it properly. This study attempts to measure the brand equity of casual dining restaurant chains in monetary terms using conjoint analysis.
Resumo:
Social responsibility (SR) is becoming an increasingly significant component of many firms’ strategic planning decisions. Research has shown that consumers tend to reward socially responsible behavior. However, there has been little testing of the construct in the hospitality industry. Additionally, when other important variables that influence consumer brand loyalty are considered, will brand social responsibility image (BSRI) still play a significant role? This study investigates the importance of SR and its impact on brand loyalty, relative to product quality and service quality in the quick-service restaurant industry. The authors were also interested to learn whether BSRI impacted consumers' image of product and service quality. It was found that BSRI had a positive impact on brand loyalty, product quality, and service quality. However, product quality was a significantly stronger predictor of brand loyalty than BSRI. Where the vast majority of studies of SR have utilized scenario analysis of hypothetical firms, this study utilizes consumers' perceptions of a real-world firm.
Resumo:
Most advertising research has focussed at examining effects of advertising on attitudinal responses or brand preference and choice. However, in a natural environment, the time period between advertising exposure and purchase decision is filled with prepurchase search. Prepurchase external search refers to information search from sources other than memory, prior to making a purchase decision. Usually consumers access only a small subset of available information and base their choice decisions on it. Prepurchase search therefore acts as a filter and, the final choice depends critically on the small subset of potential inputs the consumer notes in the environment and integrates into the decision. Previous research has identified a variety of factors that affect consumers' prepurchase search behavior. However, there is little understanding of how specific advertisements designed by marketers impact consumers' prepurchase search. A marketer would like consumers to search information that reflects favorably on his/her brand. Hence, s/he would attempt to influence the brands and attributes on which consumers seek information prior to making a choice. The dissertation investigates the process by which a particular marketer's advertising influences consumers' search on available brands, i.e., the marketer's brand and other competing brands. The dissertation considers a situation where exposure to advertising occurs prior to seeking information from any other source. Hence, the impact of advertising on subsequent search behavior is the topic of interest. The dissertation develops a conceptual model of advertising effects on brand search and conducts two experiments to test the tenets of this model. Specifically, the dissertation demonstrates that attitudinal responses generated by advertising mediate advertising effects on search attitudes and behaviors. The dissertation goes on to examine how attitudinal responses generated by advertising and subsequent effects on search alter brand preference and choice. ^
Resumo:
Using trust-in-the-brand appeals in advertising has been a very common practice However, research has yet to examine the effectiveness of such appeals. Can the use of trust appeals in advertising enhance a product's trustworthiness and help the advertiser gain consumers' trust? Might such appeals lead to more favorable attitudes toward the advertised brand? Given the absence of research that speaks to these questions, this dissertation attempts to fill this void by exploring persuasion outcomes of using trust appeals. Specifically, this research aims to assess whether the use of trust appeals affects persuasion; explicate how such appeals may work; anticipate when an ad containing trust appeals may be more or less effective; and finally conduct and report the results of preliminary empirical tests. ^ A conceptual model is offered in the dissertation describing how trust appeals may affect persuasion outcomes. It is proposed that using trust advertising appeals will result in more trust-related thinking, enhance the perceived trustworthiness of the advertised brand, and finally lead to more favorable brand attitudes and trial intentions. This dissertation also examines the differential effectiveness of alternative trust appeals. Elaborate trust appeals that provide substantiation for trust are expected to perform better than simple trust appeals. An implicit elaborate trust appeal is anticipated to outperform an explicit elaborate appeal. ^ Two experiments were conducted. Including a trust appeal in an ad enhanced the perceived trustworthiness of the advertised brand which, in turn, led to more favorable brand attitudes and greater trial intentions compared to a similar ad without the trust appeal. The results also support the proposed mediating role of perceived trust. The empirical test speaking to the hypothesized differential effect of alternative trust appeals provides support for marketing practitioners' efforts in seeking the most effective use of such appeals. Evidence was obtained in the second study demonstrating that an elaborate trust appeal worked more effectively than a simple trust appeal. Contrary to the expectation, this persuasion advantage held regardless of whether the elaborate appeal was in an explicit form or an implicit form. ^
Resumo:
This professional development session will review recent research on the use of social media by faculty and academic staff. The bulk of the presentation will focus on social media strategies and techniques that attendees can use to develop and build their academic brand. This session will be useful to various audiences including established faculty, new faculty and graduate students.
Resumo:
Prior research has established that idiosyncratic volatility of the securities prices exhibits a positive trend. This trend and other factors have made the merits of investment diversification and portfolio construction more compelling. A new optimization technique, a greedy algorithm, is proposed to optimize the weights of assets in a portfolio. The main benefits of using this algorithm are to: a) increase the efficiency of the portfolio optimization process, b) implement large-scale optimizations, and c) improve the resulting optimal weights. In addition, the technique utilizes a novel approach in the construction of a time-varying covariance matrix. This involves the application of a modified integrated dynamic conditional correlation GARCH (IDCC - GARCH) model to account for the dynamics of the conditional covariance matrices that are employed. The stochastic aspects of the expected return of the securities are integrated into the technique through Monte Carlo simulations. Instead of representing the expected returns as deterministic values, they are assigned simulated values based on their historical measures. The time-series of the securities are fitted into a probability distribution that matches the time-series characteristics using the Anderson-Darling goodness-of-fit criterion. Simulated and actual data sets are used to further generalize the results. Employing the S&P500 securities as the base, 2000 simulated data sets are created using Monte Carlo simulation. In addition, the Russell 1000 securities are used to generate 50 sample data sets. The results indicate an increase in risk-return performance. Choosing the Value-at-Risk (VaR) as the criterion and the Crystal Ball portfolio optimizer, a commercial product currently available on the market, as the comparison for benchmarking, the new greedy technique clearly outperforms others using a sample of the S&P500 and the Russell 1000 securities. The resulting improvements in performance are consistent among five securities selection methods (maximum, minimum, random, absolute minimum, and absolute maximum) and three covariance structures (unconditional, orthogonal GARCH, and integrated dynamic conditional GARCH).
Resumo:
This project analyzes contemporary black diasporic writing in Canada, arguing that Dionne Brand, Austin Clarke and Tessa McWatt evince a unique form of double-consciousness in their writings. Their work transforms African-American double-consciousness by locating it simultaneously within both the black diaspora and the practice of Canadian multiculturalism. The objective of this project is to offer a critical framework for situating these writers within the legacy of both Black Atlantic and Canadian cultural production. These writers do not aim to resolve their double-consciousness but rather dwell within that contradictory doubleness and hyphenation, forcing nation and diaspora to contend with one another in a discomfiting and unsettling dialogue. These authors employ the absences of the black diaspora to imagine new forms of black cultural production, multicultural citizenship and national identity. Their works produce a grammar of diasporic double-consciousness that locates the absented origins of diaspora within Canada. Brand’s depiction of temporality and Clarke’s tracing of movement explore the continuities between nation and diaspora while re-membering neglected aspects of the history of black Canada, such as the life and death of Albert Johnson. McWatt extends this blackening of nation by depicting coalitions between diasporic, indigenous, raced and sexed subjects. These authors transform hegemonic Canadian narratives of nation by dwelling in the hyphen, while their evocation of memory, absence, trauma, and desire gives blackness new meaning and legitimacy.
Resumo:
This article proposes a three-step procedure to estimate portfolio return distributions under the multivariate Gram-Charlier (MGC) distribution. The method combines quasi maximum likelihood (QML) estimation for conditional means and variances and the method of moments (MM) estimation for the rest of the density parameters, including the correlation coefficients. The procedure involves consistent estimates even under density misspecification and solves the so-called ‘curse of dimensionality’ of multivariate modelling. Furthermore, the use of a MGC distribution represents a flexible and general approximation to the true distribution of portfolio returns and accounts for all its empirical regularities. An application of such procedure is performed for a portfolio composed of three European indices as an illustration. The MM estimation of the MGC (MGC-MM) is compared with the traditional maximum likelihood of both the MGC and multivariate Student’s t (benchmark) densities. A simulation on Value-at-Risk (VaR) performance for an equally weighted portfolio at 1% and 5% confidence indicates that the MGC-MM method provides reasonable approximations to the true empirical VaR. Therefore, the procedure seems to be a useful tool for risk managers and practitioners.