Securitization of Lodging Real Estate Finance

In the early 1990s, the U.S. lodging industry witnessed a severe shortage of debt capital as traditional lenders exited the market. During this period hotel lending was revolutionized by the emergence of real estate debt securities. The author discusses key factors which have affected the growth and development of commercial mortgage backed securities and their changing role as a significant source of debt capital to the lodging industry.

Industry Expresses Attitudes Toward Accounting, Finance Curricula

A survey of hospitality financial executives provides guidance for those planning accounting and finance curricula for schools of hospitality management. The authors discuss the results of their survey sponsored by the Association of Hospitality Financial Management Educators.

An Autoregressive Conditional Filtering Process to remove Intraday Seasonal Volatility and its Application to Testing the Noisy Rational Expectations Model

We develop a new autoregressive conditional process to capture both the changes and the persistency of the intraday seasonal (U-shape) pattern of volatility in essay 1. Unlike other procedures, this approach allows for the intraday volatility pattern to change over time without the filtering process injecting a spurious pattern of noise into the filtered series. We show that prior deterministic filtering procedures are special cases of the autoregressive conditional filtering process presented here. Lagrange multiplier tests prove that the stochastic seasonal variance component is statistically significant. Specification tests using the correlogram and cross-spectral analyses prove the reliability of the autoregressive conditional filtering process. In essay 2 we develop a new methodology to decompose return variance in order to examine the informativeness embedded in the return series. The variance is decomposed into the information arrival component and the noise factor component. This decomposition methodology differs from previous studies in that both the informational variance and the noise variance are time-varying. Furthermore, the covariance of the informational component and the noisy component is no longer restricted to be zero. The resultant measure of price informativeness is defined as the informational variance divided by the total variance of the returns. The noisy rational expectations model predicts that uninformed traders react to price changes more than informed traders, since uninformed traders cannot distinguish between price changes caused by information arrivals and price changes caused by noise. This hypothesis is tested in essay 3 using intraday data with the intraday seasonal volatility component removed, as based on the procedure in the first essay. The resultant seasonally adjusted variance series is decomposed into components caused by unexpected information arrivals and by noise in order to examine informativeness.

Liquidity, Governance and Adverse Selection in Asset Pricing

A plethora of recent literature on asset pricing provides plenty of empirical evidence on the importance of liquidity, governance and adverse selection of equity on pricing of assets together with more traditional factors such as market beta and the Fama-French factors. However, literature has usually stressed that these factors are priced individually. In this dissertation we argue that these factors may be related to each other, hence not only individual but also joint tests of their significance is called for. In the three related essays, we examine the liquidity premium in the context of the finer three-digit SIC industry classification, joint importance of liquidity and governance factors as well as governance and adverse selection. Recent studies by Core, Guay and Rusticus (2006) and Ben-Rephael, Kadan and Wohl (2010) find that governance and liquidity premiums are dwindling in the last few years. One reason could be that liquidity is very unevenly distributed across industries. This could affect the interpretation of prior liquidity studies. Thus, in the first chapter we analyze the relation of industry clustering and liquidity risk following a finer industry classification suggested by Johnson, Moorman and Sorescu (2009). In the second chapter, we examine the dwindling influence of the governance factor if taken simultaneously with liquidity. We argue that this happens since governance characteristics are potentially a proxy for information asymmetry that may be better captured by market liquidity of a company’s shares. Hence, we jointly examine both the factors, namely, governance and liquidity – in a series of standard asset pricing tests. Our results reconfirm the importance of governance and liquidity in explaining stock returns thus independently corroborating the findings of Amihud (2002) and Gompers, Ishii and Metrick (2003). Moreover, governance is not subsumed by liquidity. Lastly, we analyze the relation of governance and adverse selection, and again corroborate previous findings of a priced governance factor. Furthermore, we ascertain the importance of microstructure measures in asset pricing by employing Huang and Stoll’s (1997) method to extract an adverse selection variable and finding evidence for its explanatory power in four-factor regressions.

Three Essays on Market Depth in Futures Markets

Liquidity is an important market characteristic for participants in every financial market. One of the three components of liquidity is market depth. Prior literature lacks a comprehensive analysis of depth in U.S. futures markets due to past limitations on the availability of data. However, recent innovations in data collection and dissemination provide new opportunities to investigate the depth dimension of liquidity. In this dissertation, the Chicago Mercantile Exchange (CME) Group proprietary database on depth is employed to study the dynamics of depth in the U.S. futures markets. This database allows for the analysis of depth along the entire limit order book rather than just at the first level. The first essay examines the characteristics of depth within the context of the five-deep limit order book. Results show that a large amount of depth is present in the book beyond the best level. Furthermore, the findings show that the characteristics of five-deep depth between day and night trading vary and that depth is unequal across levels within the limit order book. The second essay examines the link between the five-deep market depth and the bid-ask spread. The results suggest an inverse relation between the spread and the depth after adjusting for control factors. The third essay explores transitory volatility in relation to depth in the limit order book. Evidence supports the relation between an increase in volatility and a subsequent decrease in market depth. Overall, the results of this dissertation are consistent with limit order traders actively managing depth along the limit order book in electronic U.S. futures markets.

Civil service reform trends in public personnel management: Experiences from the Commonwealth of the Bahamas

This study has explored the potential for implementing a merit-based public personnel system in The Bahamas, a former British colony in The Commonwealth Caribbean. Specifically, the study evaluated the use of merit-based public personnel management practices in areas of recruitment, selection, promotion, training and employee development and performance evaluation. Driving forces and barriers which impact merit system successes and failures as well as strategies for institutionalizing merit system practices are identified. Finally the study attempted to apply the developmental model created by Klingner (1996) to describe the stage of public personnel management in The Bahamas. The data for the study was collected through in-depth interviews with expert observers. ^

Alternative service organizations: Funding environment, strategies, and patterns of adaptation

This study explored the strategies that community-based, consumer-focused advocacy, alternative service organizations (ASOs), implemented to adapt to the changes in the nonprofit funding environment (Oliver & McShane, 1979; Perlmutter, 1988a, 1994). It is not clear as to the extent to which current funding trends have influenced ASOs as little empirical research has been conducted in this area (Magnus, 2001; Marquez, 2003; Powell, 1986). ^ This study used a qualitative research design to investigate strategies implemented by these organizations to adapt to changes such as decreasing government, foundation, and corporate funding and an increasing number of nonprofit organizations. More than 20 community informants helped to identify, locate, and provide information about ASOs. Semi-structured interviews were conducted with a sample of 30 ASO executive directors from diverse organizations in Miami-bade and Broward Counties, in South Florida. ^ Data analysis was facilitated by the use of ATLAS.ti, version 5, a qualitative data analysis computer software program designed for grounded theory research. This process generated five major themes: Funding Environment; Internal Structure; Strategies for Survival; Sustainability; and Committing to the Cause, Mission, and Vision. ^ The results indicate that ASOs are struggling to survive financially by cutting programs, decreasing staff, and limiting service to consumers. They are also exploring ways to develop fundraising strategies; for example, increasing the number of proposals written for grants, focusing on fund development, and establishing for-profit ventures. Even organizations that state that they are currently financially stable are concerned about their financial vulnerability. There is little flexibility or cushioning to adjust to "funding jolts." The fear of losing current funding levels and being placed in a tenuous financial situation is a constant concern for these ASOs. ^ Further data collected from the self-administered Funding Checklist and demographic forms were coded and analyzed using Statistical Package for the Social Sciences (SPSS). Descriptive information and frequencies generated findings regarding the revenue, staff compliment, use of volunteers and fundraising consultants, and fundraising practices. The study proposes a model of funding relationships and presents implications for social work practice, and policy, along with recommendations for future research. ^

Service Management Concepts: Implications for Hospitality Management

In - Service Management Concepts: Implications for Hospitality Management – a study by K. Michael Haywood, Associate Professor, School of Hotel and Food Administration, University of Guelph, Ontario, Canada, Associate Professor Haywood initially proffers: “The study and application of hospitality management has progressed on its own for many years; however, managers are not immune to the knowledge gained from study of other service industries. The author synthesizes what is happening in the area of service management, looks at its relevance to hospitality management, and identifies a few important implications of service management for hospitality managers.” The author draws a distinction between non-denominated service management, and service management as it applies to the hospitality industry. This is done to make an apparent comparison, as many people would assume the two are one in the same. They are not, and the contrast works well here. “While much of what we already know about effective management applies to service industries, some of the traditional concepts of management are inadequate in solving the problems faced by service businesses,” Haywood points out. “If a body of knowledge to be known as service management already exists, or is being developed, where does it fit relative to hospitality management,” Haywood asks. According to John Bateson, Testing a Conceptual Framework for Consumer Service Marketing, there are four criteria used to judge service management. Haywood details these for you, the reader, by way of citation. Haywood points to the difficulty in pin-pointing the intangibles that underpin the service industry. Since service is a concept rather than a touchable good, such as inventory, problems arise for both the organization and the client. Haywood points to a classic study of four service industries in France to illustrate the problems, although no realistic suggestions address the issues. “Over the past few years a variety of system models have been developed to explain the service process, that is, how the service is designed, produced, delivered, and consumed,” Haywood offers. These models are depicted in Appendices A-E. In offering perspectives on how the hospitality industry can gain from the experiences of service management, Haywood observes: “Service management places particular emphasis on a strategic outlook. Hospitality firms would be wise to carefully examine how they are perceived in the marketplace vis-a-vis their service concept, position, competitive situation, and management’s leadership abilities.” “Learning from the experiences of other service firms can help keep a company on track, that is, providing needed and valued services,” he closes the thought.

Timeshare Owner Preferences - An Analysis of Program and Service Relationships during Recessionary Times

Since the 1970s various industry studies have indicated that the vacation ownership industry has enjoyed unprecedented growth in unit sales, resort growth, and the number of owners (American Resort Devleopment Association [ARDA], 2007; ARDA, 2009a; ARDA, 2009b). However, due to the recent economic downturn these growth metrics are no longer obtainable. This external impact has caused developers to retrench and therefore reflect upon their existing product and service offerings, financial metrics, and consumer markets (ARDA, 2010a; ARDA 2010b). The crux of these findings indicates that the industry has shifted to maintaining and enhancing product and service offerings as a reaction to changing economic conditions. The findings reported in the body of this manuscript represent product and service preferences as collected from a random data pull of their existing ownership base. The study also revealed current preferences of timeshare owners with relation to services provided and products/amenities offered. Management implications and limitations of the current study are discussed.

A New Look at Institutional Food Service Management

Institutional food service management, especially by contract management companies, offers unrecognized career opportunities for many of today's hospitality students. It is one of the best kept secrets in the food service industry. This article endeavors to provide a new look at and overview of the industry as it has evolved and now stands.

Recreational Food Service Management: A New Academic Challenge

The School of Hospitality Management at Florida International University recently offered a new course, recreational food service management, in an effort to address the specialized needs of that segment of the industry. The author discusses the size and scope of this area, its history and presentations, its specialized operational nature, its menu structure and style of service, and the unique management requirements for success.

Food Service Management: A Case Study in Adaptation

The rapid growth of the food service industry has redefined the role of the manager today. According to the executive director of the National Restaurant Association, future trends and pressures will accelerate these changes and necessitate a new look at these managers.

Event mining for system and service management

Modern IT infrastructures are constructed by large scale computing systems and administered by IT service providers. Manually maintaining such large computing systems is costly and inefficient. Service providers often seek automatic or semi-automatic methodologies of detecting and resolving system issues to improve their service quality and efficiency. This dissertation investigates several data-driven approaches for assisting service providers in achieving this goal. The detailed problems studied by these approaches can be categorized into the three aspects in the service workflow: 1) preprocessing raw textual system logs to structural events; 2) refining monitoring configurations for eliminating false positives and false negatives; 3) improving the efficiency of system diagnosis on detected alerts. Solving these problems usually requires a huge amount of domain knowledge about the particular computing systems. The approaches investigated by this dissertation are developed based on event mining algorithms, which are able to automatically derive part of that knowledge from the historical system logs, events and tickets. ^ In particular, two textual clustering algorithms are developed for converting raw textual logs into system events. For refining the monitoring configuration, a rule based alert prediction algorithm is proposed for eliminating false alerts (false positives) without losing any real alert and a textual classification method is applied to identify the missing alerts (false negatives) from manual incident tickets. For system diagnosis, this dissertation presents an efficient algorithm for discovering the temporal dependencies between system events with corresponding time lags, which can help the administrators to determine the redundancies of deployed monitoring situations and dependencies of system components. To improve the efficiency of incident ticket resolving, several KNN-based algorithms that recommend relevant historical tickets with resolutions for incoming tickets are investigated. Finally, this dissertation offers a novel algorithm for searching similar textual event segments over large system logs that assists administrators to locate similar system behaviors in the logs. Extensive empirical evaluation on system logs, events and tickets from real IT infrastructures demonstrates the effectiveness and efficiency of the proposed approaches.^