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Price Anchoring in the Stock Market PDF

80 Pages·2016·1.78 MB·English
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UNIVERSITEIT GENT GHENT UNIVERSITY FACULTEIT ECONOMIE EN BEDRIJFSKUNDE FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION ACADEMIC YEAR 2015 – 2016 Price Anchoring in the Stock Market Masterproef voorgedragen tot het bekomen van de graad van Master’s Dissertation submitted to obtain the degree of Master of Science in Business Administration Thomas Longeval Thomas Van Der Vaerent Under the guidance of Prof. Koen Inghelbrecht Mr. Hannes Stieperaere UNIVERSITEIT GENT GHENT UNIVERSITY FACULTEIT ECONOMIE EN BEDRIJFSKUNDE FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION ACADEMIC YEAR 2015 – 2016 Price Anchoring in the Stock Market Masterproef voorgedragen tot het bekomen van de graad van Master’s Dissertation submitted to obtain the degree of Master of Science in Business Administration Thomas Longeval Thomas Van Der Vaerent Under the guidance of Prof. Koen Inghelbrecht Mr. Hannes Stieperaere 1. Confidentiality Clause Ondergetekende verklaart dat de inhoud van deze masterproef mag geraadpleegd en/of gereproduceerd worden, mits bronvermelding. Naam studenten: Thomas Longeval & Thomas Van Der Vaerent i 2. Nederlandstalige samenvatting Deze thesis onderzoekt de behavioral bias “anchoring.” Anchoring is het toekennen van een bepaalde mate van gewichtigheid aan nietszeggende informatie bij het waarderen van een goed, ervaring of, in het kader van deze thesis, een aandelenprijs. De aandelenprijs is an sich niet informatief, omdat deze relatief gemakkelijk te beïnvloeden is door het aantal aandelen aan te passen. Dat is waarom wij onderzoeken of beleggers hun beleggersbereidheid (deels) laten afhangen van deze aandelenprijs. Als dit het geval zou zijn, zou dit een toevoeging kunnen zijn aan de literatuur die diverse “raadsels” in de aandelenmarkt tracht te verklaren. Via een eigen experiment dat gericht is op de beleggersbereidheid van de respondenten, vinden we dat er geen significant effect is in deze bereidheid ten aanzien van een hoger geprijsd aandeel vergeleken met een lager geprijsd aandeel. Deze conclusie is in het voordeel van de Efficient Market Hypothesis, maar er zijn wel aanwijzingen dat investeerders een lager geprijsd aandeel aantrekkelijker vinden dan een aandeel dat hoger geprijsd is. Verder onderzoek is dus nog nodig. ii 3. Preface We would like to thank our promotor Mr. Hannes Stieperaere for the wonderful cooperation and the support in writing this thesis. Furthermore, we would like also like to thank our families and friends for the amazing support in the months leading up to our final thesis. Thomas Longeval & Thomas Van Der Vaerent Ghent, June 2016 iii 4. Table of Contents 1. Confidentiality Clause .............................................................................................................. i 2. Nederlandstalige samenvatting ................................................................................................ ii 3. Preface ..................................................................................................................................... iii 4. Table of Contents .................................................................................................................... iv 5. List of used abbreviations ....................................................................................................... vi 6. List of tables & figures .......................................................................................................... vii 6.1. Figures .......................................................................................................................... vii 6.2. Tables ............................................................................................................................ vii 1. Abstract .................................................................................................................................... 1 2. Introduction .............................................................................................................................. 2 3. Literature Review ..................................................................................................................... 4 3.1. Stock Market Puzzles ..................................................................................................... 4 3.2. The Efficient Market Hypothesis .................................................................................... 8 3.3. Behavioral Economics .................................................................................................. 10 4. Methodology .......................................................................................................................... 19 5. Results .................................................................................................................................... 22 5.1 General Overview ......................................................................................................... 22 5.2 Paired Samples T-test ................................................................................................... 23 5.3 Relative OLS Regressions ............................................................................................ 24 5.4 Absolute OLS Regressions ........................................................................................... 26 5.5 Anchoring effect between pairs .................................................................................... 29 6. Conclusion ............................................................................................................................. 30 7. Bibliography .......................................................................................................................... 33 8. ADDENDUM ........................................................................................................................ 36 8.1. Survey ........................................................................................................................... 36 8.2. Descriptive statistics control variables ......................................................................... 54 iv 8.3. Relative OLS regressions ............................................................................................. 55 8.4. Absolute OLS regressions without control variables ................................................... 59 8.5. Absolute OLS regressions with control variables ........................................................ 62 8.6. Paired samples t-test ..................................................................................................... 66 8.7. ANOVA ........................................................................................................................ 68 v 5. List of used abbreviations AAM Absolute Anchoring Measure ACAPM Anchoring Adjusted Capital Asset Pricing Model CAPM Capital Asset Pricing Model EMH Efficient Market Hypothesis EPP Equity Premium Puzzle FEPS Forecasted Earnings Per Share IPO Initial Public Offering NSPP Nominal Share Price Puzzle RAM Relative Anchoring Measure USSEC United States Securities Exchange Commission vi 6. List of tables & figures 6.1 Figures Figure 1: Average share price with and without stock splits Figure 2: Real annual return on the S&P 500 index Figure 3: Real annual return on T-bills Figure 4: Pricing according to EMH Figure 5: Pricing according to behavioral economics Figure 6: Raw data table Figure 7: Bar graph of average willingness to accept Figure 8: Graph on the anchoring effect between pairs 6.2 Tables Table 1: Table concerning significance levels Table 2: ANOVA of the willingness to accept scores Table 3: Paired Samples t-test on oddly priced pairs Table 4: OLS regression on the RAM of the regular pairs with control variables Table 5: OLS regression on the RAM of the oddly priced pairs with control variables Table 6: OLS regression on the AAM of the regular pairs without control variables Table 7: OLS regression on the AAM of the oddly priced pairs without control variables Table 8: OLS regression on the AAM of the regular pairs with control variables Table 9: OLS regression on the AAM of the regular pairs with control variables Table 10: Graph on the anchoring effect between pairs Table 11: ANOVA on the anchoring effect between pairs vii Price Anchoring in the Stock Market 1. Abstract This scientific paper has the ambition to investigate whether the behavioral bias known as “price anchoring” can be found in the stock market. Anchoring is a behavioral bias that can be defined as the attributing of explanatory power to uninformative pieces of information to value a certain good or experience. That is why we explore the notion of investors giving explanatory power to the absolute price level of a stock. The price of a stock is inherently uninformative and can be manipulated relatively easy through e.g. (reverse) stock splits. This is especially relevant as anchoring could explain several stock market puzzles. We find that investors do anchor on stock prices, but as they do this in different directions, the stock price remains unaffected. However, there are indications that investors tend to anchor negatively, meaning they are more willing to invest in shares with a low absolute price than in shares with a high absolute price. 1

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UNIVERSITEIT GENT. GHENT our families and friends for the amazing support in the months leading up to our final thesis. Thomas Longeval & Thomas Van Der Vaerent. Ghent, June 2016 .. and fundamental analysis can forecast (partial) movement of share prices, in the end the market price will
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