
Advances in Quantitative Analysis of Finance and Accounting (Vol. 5).
Title:
Advances in Quantitative Analysis of Finance and Accounting (Vol. 5).
Author:
Cheng-Few, Lee.
ISBN:
9789812772213
Personal Author:
Physical Description:
1 online resource (344 pages)
Series:
Advances in Quantitative Analysis of Finance & Accounting ; v.5
Advances in Quantitative Analysis of Finance & Accounting
Contents:
Contents -- Preface -- List of Contributors -- Chapter 1 The Least Cost Superreplicating Portfolio for Short Puts and Calls in The Boyle-Vorst Model with Transaction Costs Guan-Yu Chen, Ken Palmer and Yuan-Chung Sheu -- 1. Introduction -- 2. Preliminaries -- 3. General Contingent Claims in the Two-Period Case -- 4. Least Cost Superreplicating Portfolios for Short Puts and Calls in the Two-Period Case -- 5. An Example with Path-Dependent Least Cost Superreplicating Portfolios -- References -- Chapter 2 Testing of Nonstationarities in the Unit Circle, Long Memory Processes, and Day of the Week Effects in Financial Data Guglielmo Maria Caporale, Luis A. Gil-Alana and Mike Nazarski -- 1. Introduction -- 2. Testing of Nonstationarities in the Unit Circle -- 3. A Monte Carlo Simulation Study -- 4. Two Empirical Applications -- 4.1. The Eurodollar rate -- 4.2. The Dow Jones index -- 5. Conclusions -- Acknowledgments -- References -- Chapter 3 Equity Restructuring via Tracking Stocks: Is there any Value Added? Beni Lauterbach and Joseph Vu -- 1. Introduction -- 2. Why Issue Tracking Stocks? -- 2.1. Information explanations -- 2.2. The diversification discount motive -- 2.3. Investor clientele -- 2.4. Agency perspectives -- 2.5. Other motivations -- 3. Market Response to Tracking Stock Announcements -- 4. The Long-Term Response of Parent Stocks -- 5. Summary and Conclusions -- Acknowledgments -- References -- Chapter 4 Stock Option Exercises and Discretionary Disclosure Wei Zhang and Steven F. Cahan -- 1. Introduction -- 2. Prior Literature -- 2.1. Disclosure -- 2.2. Disclosure and option grants -- 2.3. Disclosures, option exercises, and privation information -- 3. Hypothesis -- 4. Method -- 4.1. Measurements of main variables -- 4.2. Model specification -- 5. Results -- 5.1. Sample and descriptive statistics.
5.2. Regression results from partitioned samples -- 5.3. Results from regressions with interactions -- 6. Discussion and Conclusion -- References -- Chapter 5 Do Profit Warnings Convey Information About the Industry? Dave Jackson, Jeff Madura and Judith Swisher -- 1. Introduction -- 2. Related Literature and Hypotheses -- 2.1. Related literature -- 2.2. Factors that could influence industry effects -- 3. Sample Selection -- 4. Descriptive Statistics -- 5. Industry Effects -- 5.1. Industry effects partitioned by pre- and post-RFD -- 5.2. Industry effects partitioned by SIC classification -- 5.3. Industry effects partitioned by size of the surprise -- 5.4. Industry effects partitioned by the revaluation of the warning firm -- 5.5. Industry effects partitioned by size of the warning firm -- 5.6. Industry effects partitioned by analyst coverage of the warning firm -- 6. Multivariate Analysis -- 6.1. Multivariate model -- 6.2. Results of multivariate analysis -- 6.3. Results of the multivariate analysis applied to pre- and post-RFD periods -- 7. Conclusion -- Acknowledgments -- References -- Chapter 6 Are Whisper Forecasts more Informative than Consensus Analysts' Forecasts? Erik Devos and Yiuman Tse -- 1. Introduction -- 2. Hypotheses -- 2.1. Accuracy of whisper forecasts -- 2.2. Accuracy of whisper forecasts for high-growth firms -- 2.3. Accuracy of whisper forecasts for high-tech firms -- 2.4. Effects of regulation FD on whisper forecast accuracy -- 3. Data -- 3.1. Sample -- 3.2. Descriptive statistics -- 4. Accuracy of Whisper and Consensus Forecasts -- 4.1. Full sample results -- 4.2. Accuracy of whisper and consensus forecast in different types of firms -- 4.2.1. High-tech versus non-nigh-tech firms -- 4.2.2. Whisper and analyst forecast errors by book to market ratio quartiles -- 4.3. The impact of regulation FD on whisper and consensus forecasts.
4.4. What determines relative accuracy? -- 5. Abnormal Returns Around Earnings Announcements -- 6. Conclusions -- Acknowledgments -- References -- Chapter 7 Earning Forecast-Based Return Predictions: Risk Proxies in Disguise? Le (Emily) Xu -- 1. Introduction -- 2. Literature Review -- 2.1. Discussion of ELP -- 2.2. Predictable error patterns in analysts' forecasts of earnings -- 3. Hypothesis Development -- 4. Data and Variable Definitions -- 5. Methodology and Empirical Results -- 5.1. Adjustments of analysts' forecasts -- 5.2. Accuracy of the adjusted analysts' forecasts -- 5.3. Differentiation of market mispricing vs. omitted risk factor for ELP -- 6. Conclusion -- Acknowledgments -- References -- Chapter 8 On Simple Binomial Approximations for Two Variable Functions in Finance Applications Hemantha S. B. Herath and Pranesh Kumar -- 1. Introduction -- 2. Nelson-Ramaswamy Instantaneous Volatility Stabilization Transformation -- 3. Transform for Two Variables -- 3.1. Product of the underlying variables: a= b= 1, i.e., F= F(S1, S2, t)= S1S2 -- 3.2. Relative value of the underlying variables a= 1, b= -1, i.e., F= F(S1, S2, t)= S1/ S2 -- 3.3. Geometric average of underlying variables a= b= 0.5, i.e., F= F(S1, S2, t)= ( S1S2) (1/2) -- 4. Log-Transformed Variables -- 4.1. Sum of log-transformed variables:a = b = 1 , i.e., F = F(S1, S2, t) = ln(S1S2) = ln(S1) + ln(S2) -- 4.2. Difference of log-transformed variables:a = 1 ,b = -1 , i.e., F = F(S1, S2, t) = ln(S1/S2) = ln(S1) - ln(S2) -- 5. Numerical Accuracy -- 6. Conclusions -- Acknowledgments -- References -- Chapter 9 The Prime Rate-Deposit Rate Spread and Macroeconomic Shocks Bradley T. Ewing and Jamie Brown Kruse -- 1. Introduction -- 2. A Simple Model of the Lending and Deposit Markets -- 3. The Rate Spread and Macroeconomic Variables -- 4. The Data.
5. Vector Autoregression and Generalized Impulse Response Analysis -- 6. Discussion of Results -- 7. Concluding Remarks -- Acknowledgments -- References -- Chapter 10 The Long-Run Performance of Firms that Issue Tracking Stocks Charmen Loh -- 1. Introduction -- 2. Data Selection and Description -- 3. Research Methodology -- 4. Results -- 4.1. Holding-period returns -- 4.2. Profitability, growth, and valuation comparison -- 5. Summary and Conclusions -- Acknowledgment -- References -- Chapter 11 Differences in Underpricing Returns Between REIT IPOs and Industrial Company IPOs William Dimovski and Robert Brooks -- 1. Introduction -- 2. Some Previous IPO Research -- 3. Data and Methods -- 4. Results -- 5. Conclusion -- Acknowledgment -- References -- Chapter 12 Performance of Canadian Mutual Funds and Investors Rajeeva Sinha and Vijay Jog -- 1. Introduction -- 2. Literature on Performance and Trading Behavior of Mutual Funds -- 3. Assessing Performance and Persistence -- 3.1. Performance of mutual funds -- 3.2. Performance of mutual fund investors -- 3.3. Performance persistence -- 4. Data -- 5. Empirical Findings -- 5.1. Fund performance and returns to investors -- 5.2. Turnover and Performance -- 5.3. Expenses and performance -- 5.4. Age of funds and performance -- 6. Conclusions -- References -- Chapter 13 Identifying Major Shocks in Market Volatility and Their Impact on Trading Strategies Pauline Shum and Kevin X. Zhu -- 1. Introduction -- 2. Identifying Unexpectedly Large Shifts in Market Volatility -- 2.1. Variance change points -- 2.2. Intensity of news arrival -- 2.3. Comparison between realized volatility and implied volatility -- 3. Contrarian and Momentum Strategies -- 3.1. Sample selection and portfolio formation -- 3.2. Conditional Jensen's alpha -- 3.3. Market-adjusted cumulative average returns -- 3.4. Results.
3.4.1. Conditional Jensen's alphas -- 3.4.2. MACARs -- 3.4.3. Discussion -- 4. Conclusion -- References -- Chapter 14 The September Phenomenon of US Equity Market Anthony Yanxiang Gu and John T. Simon -- 1. The Data -- 2. Empirical Findings -- 3. Factors Related to the September Effect -- 4. Conclusion -- References -- Chapter 15 Fundamental Drivers of Electricity Prices in the Pacific Northwest Chi-Keung Woo, Ira Horowitz, Nate Toyama, Arne Olson, Aaron Lai and Ray Wan -- 1. Introduction -- 2. The Mid-C Hub -- 3. The Data Set -- 4. The Empirical Results -- 4.1. The GARCH model -- 4.2. The GARCH estimates and their implications -- 5. Conclusions -- Acknowledgment -- References -- Index.
Abstract:
News Professor Cheng-Few Lee ranks #1 based on his publications in the 26 core finance journals, and #163 based on publications in the 7 leading finance journals (Source: Most Prolific Authors in the Finance Literature: 1959-2008 by Jean L Heck and Philip L Cooley (Saint Joseph's University and Trinity University). Advances in Quantitative Analysis of Finance and Accounting is an annual publication designed to disseminate recent developments in the quantitative analysis of finance and accounting. The publication is a forum for statistical and quantitative analyses of issues in finance and accounting as well as applications of quantitative methods to problems in financial management, financial accounting, and business management. Its objective is to promote interaction between academic research in finance and accounting with applied research in the financial community and the accounting profession.The chapters in this volume cover a wide range of pressing topics including security analysis and mutual fund management, option pricing theory and application, interest rate spread, and electricity pricing.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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