{"title":"Ownership: A Perennial Prize or a Fading Goal? A Curation, Framework, and Agenda for Future Research","authors":"Cait Lamberton, Kelly Goldsmith","doi":"10.2139/ssrn.3651156","DOIUrl":"https://doi.org/10.2139/ssrn.3651156","url":null,"abstract":"For many, it is difficult to imagine that sharing used clothes with strangers and/or buying low quality, temporary garments could ever be preferable to owning our own. However, new findings from the Journal of Consumer Research suggest there may be contexts in which, and consumers for whom, this may in fact be true. We suggest that, given this work, consumer researchers are uniquely situated to explore whether we have indeed reached the proposed, “End of Ownership” (Perzanowski and Schultz 2017), as it has been known. If so, we must ask what may be gained as the desire for ownership wanes, in addition to what marketers, consumers and society might stand to lose in its absence.","PeriodicalId":112243,"journal":{"name":"Vanderbilt University - Owen Graduate School of Management Research Paper Series","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128763334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Clustering Structure of Microstructure Measures","authors":"Liao Zhu, Ningning Sun, M. Wells","doi":"10.2139/ssrn.3880751","DOIUrl":"https://doi.org/10.2139/ssrn.3880751","url":null,"abstract":"This paper investigates popular market microstructure measures for stock returns prediction and builds a clustering model for them to study their correlation and the best measures to use as representatives. Using high-dimensional statistical methods, we build the clustering dendrogram and select 20 representatives from all measures. Furthermore, we provide several interesting insights of the market microstructure measures from our clustering results. We found that the time-weighting technique is only useful for Herfindahl-Hirschman Index (HHI) related measures. HHI measures on the number of trades are always redundant. However, the HHI measures on quotes are very important. Also, we find a strong relationship between quote prices and quote shares.","PeriodicalId":112243,"journal":{"name":"Vanderbilt University - Owen Graduate School of Management Research Paper Series","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131553222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Volatility Creates Additional Returns: Flat Exposure is A Better Investment Approach than Buy-and-Hold","authors":"K. Miyamoto","doi":"10.2139/ssrn.3303593","DOIUrl":"https://doi.org/10.2139/ssrn.3303593","url":null,"abstract":"The expected returns have to be converged to the single rate in the same equity market through arbitrage as the return difference provides an arbitrage opportunity, which recurs to narrow any differentials. The beta is eventually unnecessary as a composition of the equity cost computation through this mechanism. However, the volatility is still a risk to the equity investment in terms of the convention to cut a loss when the stock price plunges out of the predestined range. The combination of those notions implies that the lower risk portfolio yields a better return with the same expected return, such as the value-tilted strategy. There is a way to enhance the return with the volatility, which is named as “Flat Exposure”, to fix the portfolio exposure to the flat rate, rebalancing it at the end of each term. I set up 50% equity and 50% cash for the backtest, where the equity portion might expand to 54% or shrink to 45%, which is rebalanced back to the 50% each at the end of the term. The test confirms that the flat exposure portfolio yields more return than Buy-and-hold. This outcome is pivotal as both strategies are based on exactly the same asset, indicating that there is a structural way to enhance the portfolio performance with a utilization of the beta. Actually, the more volatility, the more returns the flat exposure creates at the same security and return, which is partially against Sharpe ratio. We need always to reexamine our conventional wisdom to create a better future.","PeriodicalId":112243,"journal":{"name":"Vanderbilt University - Owen Graduate School of Management Research Paper Series","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127960961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Hu, Jason Acimovic, Francisco Erize, Douglas J. Thomas, Jan A. Van Mieghem
{"title":"Forecasting Product Life Cycle Curves: Practical Approach and Empirical Analysis","authors":"K. Hu, Jason Acimovic, Francisco Erize, Douglas J. Thomas, Jan A. Van Mieghem","doi":"10.2139/ssrn.2867528","DOIUrl":"https://doi.org/10.2139/ssrn.2867528","url":null,"abstract":"We present an approach to fit product life cycle (PLC) curves from historical customer order data and use them to forecast customer orders of ready-to-launch new products that are similar to past products. We propose three families of curves to fit the PLC: the BASS diffusion curves, polynomial curves and piecewise- linear curves. Using a large data set (133 products) of customer orders for short lifecycle products, we compare goodness-of-fit and complexity for these families of curves. Our key empirical findings from PLC fitting are that simple, piecewise-linear curves are very effective at fitting the PLC in our data set, and the products in our data rarely have a “mature” or “sustain” phase often represented in traditional PLC curves. Using time-series clustering techniques, we cluster the fitted PLC curves into several representative curves and use these curves to generate forecasts for the products in our data set. Our forecasts result in absolute errors approximately 9% lower than the company forecasts.","PeriodicalId":112243,"journal":{"name":"Vanderbilt University - Owen Graduate School of Management Research Paper Series","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123234391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Benchmarking Commodity Investments","authors":"J. Blocher, Ricky Cooper, Marat Molyboga","doi":"10.2139/ssrn.2744766","DOIUrl":"https://doi.org/10.2139/ssrn.2744766","url":null,"abstract":"While much is known about the financialization of commodities, less is known about how to profitably invest in commodities. We develop a four†factor asset pricing model of commodity returns. Our four†factor model prices both commodity spot and term risk premia in an intuitive manner related to investable portfolios. The straightforward construction of our factors is an improvement over previous models. Furthermore, our four†factor model prices commodity risk premia using both sorted portfolios and risk adjusted alphas as benchmarks. Thus, we feel it is an appropriate benchmark to evaluate commodity investment vehicles.","PeriodicalId":112243,"journal":{"name":"Vanderbilt University - Owen Graduate School of Management Research Paper Series","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121331407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Shape of Cooperative Communication","authors":"Jordan M. Martel, Edward Dickersin Van Wesep","doi":"10.2139/ssrn.2464406","DOIUrl":"https://doi.org/10.2139/ssrn.2464406","url":null,"abstract":"It is common for one who has information to share it cooperatively with one who needs it. Perhaps surprisingly, this information is often not communicated in the simplest possible way. For example, Standard and Poor's assigns ratings of at least \"B-\" to 97% of corporate issues, and segments these issues into 16 categories (AAA, AA, AA-, etc.). A full 7 of these 16 categories are devoted to issues with nearly identical default probabilities, leaving only 9 categories to cover the wide variety of default probabilities found in speculative corporate debt. Equally concerning, Yelp restaurant reviews are predominantly positive, with an average of 3.8 stars out of 5. This limits the site's usefulness in distinguishing the highest quality fare. I show that the purpose of a reviewer generates the optimal distribution of reviews. If it is most important to separate great from good, then reviews will tend to be harsh, in the sense that most reviews will be below average. If it is most important to separate bad from worst, then reviews will tend to be polite, in the sense that most reviews will be above average. Importantly, politeness and harshness are emergent properties of the optimal messaging rule. Results are consistent with casual observation, and provide testable implications across a variety of settings, including credit reports, analyst ratings, credit ratings, wine ratings, referee reports, customer reviews, grade inflation, and letters of recommendation.","PeriodicalId":112243,"journal":{"name":"Vanderbilt University - Owen Graduate School of Management Research Paper Series","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127119677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How Much for a Haircut? Illiquidity, Secondary Markets, and the Value of Private Equity","authors":"Nicolas P. B. Bollen, Berk A. Sensoy","doi":"10.2139/ssrn.2608549","DOIUrl":"https://doi.org/10.2139/ssrn.2608549","url":null,"abstract":"Limited partners (LPs) of private equity funds commit to invest with extreme levels of illiquidity and significant uncertainty regarding the timing of capital flows. Secondary markets have emerged which alleviate some of the associated cost. This paper develops a subjective valuation model incorporating these institutional features. Model-implied breakeven returns are close to empirically observed average fund returns for moderately risk tolerant LPs with private equity allocations up to 40%. Likewise, optimal portfolio allocations for these LPs are similar to those observed in practice. More risk averse LPs optimally place little, but not zero, weight on private equity.","PeriodicalId":112243,"journal":{"name":"Vanderbilt University - Owen Graduate School of Management Research Paper Series","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121369336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Quality of Expertise","authors":"Edward Dickersin Van Wesep","doi":"10.2139/ssrn.2257995","DOIUrl":"https://doi.org/10.2139/ssrn.2257995","url":null,"abstract":"Policy-makers and managers often turn to experts when in need of information: because they are more informed than others of the content and quality of current and past research, they should provide the best advice. I show, however, that we should expect experts to be systematically biased, potentially to the point that they are less reliable sources of information than non-experts. This is because the decision to research a question implies a belief that research will be fruitful. If priors about the impact of current work are correct, on average, then those who select into researching a question are optimistic about the quality of current work. In areas that are new, or feature new research technologies (e.g., data sources, technical methods, or paradigms), the selection problem is less important than the benefit of greater knowledge: experts will indeed be experts. In areas that are old and lack new research technologies, there will be significant bias. Furthermore, consistent with a large body of empirical research, this selection problem implies that experts who express greater confidence in their beliefs will be, on average, less accurate. This paper provides many empirical implications for expert accuracy, as well as mechanism design implications for hiring, task assignment, and referee assignment.","PeriodicalId":112243,"journal":{"name":"Vanderbilt University - Owen Graduate School of Management Research Paper Series","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124909528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Money Market Fund Capital Buffers","authors":"C. Lewis","doi":"10.2139/ssrn.2388676","DOIUrl":"https://doi.org/10.2139/ssrn.2388676","url":null,"abstract":"This paper considers the economic implications of supporting prime money market funds with capital buffers. The main findings are twofold. First, relatively small capital buffers are capable of absorbing daily fluctuations between a fund's shadow price and its amortized cost. The ability to absorb large scale defaults, however, would require a significantly larger and more costly buffer. Second, because a buffer is designed to absorb credit risk, capital providers demand compensation for bearing this risk. After adjusting for this cost, the returns available to prime money market fund shareholders are comparable to default free securities.","PeriodicalId":112243,"journal":{"name":"Vanderbilt University - Owen Graduate School of Management Research Paper Series","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121789119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Posavac, D. Sanbonmatsu, Joon Young Seo, D. Iacobucci
{"title":"How Attitudes Toward Product Categories Drive Individual Brand Attitudes and Choice","authors":"S. Posavac, D. Sanbonmatsu, Joon Young Seo, D. Iacobucci","doi":"10.2139/ssrn.2595682","DOIUrl":"https://doi.org/10.2139/ssrn.2595682","url":null,"abstract":"Three experiments examine the role of attitudes toward the category to which a brand belongs in consumers’ attitudes toward individual brands. The core findings indicate that what consumers think generally about a category affects their evaluations of singular brands belonging to the category. Study 1 demonstrates that both consumers’ attitudes towards a category as well as their relative attitudes toward a brand versus intra-category competitors drive overall attitudes toward individual brands. Study 2 shows that manipulating attitudes towards a product category affects attitudes toward, and purchase intention of, individual brands belonging to that category. Study 3 demonstrates that more versus less favorably evaluated categories are more likely to exhibit brand positivity effects in judgments of singular brands. The results suggest the practical importance of measuring attitudes toward product categories, as well as the utility of marketing interventions aimed at the category level.","PeriodicalId":112243,"journal":{"name":"Vanderbilt University - Owen Graduate School of Management Research Paper Series","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133988370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}