IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v38y2015icp151-162.html
   My bibliography  Save this article

Calculating and comparing security returns is harder than you think: A comparison between logarithmic and simple returns

Author

Listed:
  • Hudson, Robert S.
  • Gregoriou, Andros

Abstract

We analyse the relationships between return calculation methods, risk and observation periods. We show that the mean of a return set calculated using logarithmic returns is less than the mean calculated using simple returns by an amount related to the variance of the set. This implies that there is not a one-to-one relationship between mean logarithmic and mean simple returns and also that risk and return calculations are not independent as the measure of risk is part of the measure of return. Finally we draw on examples from the extant literature to illustrate that these effects can be very important particularly when dealing with short observation periods.

Suggested Citation

  • Hudson, Robert S. & Gregoriou, Andros, 2015. "Calculating and comparing security returns is harder than you think: A comparison between logarithmic and simple returns," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 151-162.
  • Handle: RePEc:eee:finana:v:38:y:2015:i:c:p:151-162
    DOI: 10.1016/j.irfa.2014.10.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521914001380
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2014.10.008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Spyros I. Spyrou & Konstantinos Kassimatis & Emilios C. C Galariotis, 2007. "Short-term overreaction, underreaction and efficient reaction: evidence from the London Stock Exchange," Post-Print hal-01096009, HAL.
    2. Hudson, Robert & Dempsey, Michael & Keasey, Kevin, 1996. "A note on the weak form efficiency of capital markets: The application of simple technical trading rules to UK stock prices - 1935 to 1994," Journal of Banking & Finance, Elsevier, vol. 20(6), pages 1121-1132, July.
    3. Pritamani, Mahesh & Singal, Vijay, 2001. "Return predictability following large price changes and information releases," Journal of Banking & Finance, Elsevier, vol. 25(4), pages 631-656, April.
    4. Mazouz, Khelifa & Joseph, Nathan L. & Joulmer, Joulmer, 2009. "Stock price reaction following large one-day price changes: UK evidence," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1481-1493, August.
    5. Wang, Ko & Li, Yuming & Erickson, John, 1997. "A New Look at the Monday Effect," Journal of Finance, American Finance Association, vol. 52(5), pages 2171-2186, December.
    6. Ratner, Mitchell & Leal, Ricardo P. C., 1999. "Tests of technical trading strategies in the emerging equity markets of Latin America and Asia," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1887-1905, December.
    7. Holthausen, Robert W. & Leftwich, Richard W. & Mayers, David, 1987. "The effect of large block transactions on security prices: A cross-sectional analysis," Journal of Financial Economics, Elsevier, vol. 19(2), pages 237-267, December.
    8. Oliver Schnusenberg & Jeff Madura, 2001. "Do U.S. Stock Market Indexes Over- Or Underreact?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 24(2), pages 179-204, June.
    9. repec:bla:jfinan:v:55:y:2000:i:4:p:1705-1770 is not listed on IDEAS
    10. Brown, Keith C. & Harlow, W. V. & Tinic, Seha M., 1988. "Risk aversion, uncertain information, and market efficiency," Journal of Financial Economics, Elsevier, vol. 22(2), pages 355-385, December.
    11. Andrew W. Lo & Harry Mamaysky & Jiang Wang, 2000. "Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation," Journal of Finance, American Finance Association, vol. 55(4), pages 1705-1765, August.
    12. Ryan Sullivan & Allan Timmermann & Halbert White, 1999. "Data‐Snooping, Technical Trading Rule Performance, and the Bootstrap," Journal of Finance, American Finance Association, vol. 54(5), pages 1647-1691, October.
    13. Sullivan, Ryan & Timmermann, Allan & White, Halbert, 2001. "Dangers of data mining: The case of calendar effects in stock returns," Journal of Econometrics, Elsevier, vol. 105(1), pages 249-286, November.
    14. Dissanaike, Gishan, 1994. "On the computation of returns in tests of the stock market overreaction hypothesis," Journal of Banking & Finance, Elsevier, vol. 18(6), pages 1083-1094, December.
    15. Roll, Richard, 1983. "On computing mean returns and the small firm premium," Journal of Financial Economics, Elsevier, vol. 12(3), pages 371-386, November.
    16. Barber, Brad M. & Lyon, John D., 1997. "Detecting long-run abnormal stock returns: The empirical power and specification of test statistics," Journal of Financial Economics, Elsevier, vol. 43(3), pages 341-372, March.
    17. Josef Lakonishok, Seymour Smidt, 1988. "Are Seasonal Anomalies Real? A Ninety-Year Perspective," The Review of Financial Studies, Society for Financial Studies, vol. 1(4), pages 403-425.
    18. Frino, Alex & Jarnecic, Elvis & Johnstone, David & Lepone, Andrew, 2005. "Bid-ask bounce and the measurement of price behavior around block trades on the Australian Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 13(3), pages 247-262, June.
    19. Madhavan, Ananth & Richardson, Matthew & Roomans, Mark, 1997. "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 1035-1064.
    20. Zainudin Arsad & J. Andrew Coutts, 1997. "Security price anomalies in the London International Stock Exchange: a 60 year perspective," Applied Financial Economics, Taylor & Francis Journals, vol. 7(5), pages 455-464.
    21. Atkins, Allen B. & Dyl, Edward A., 1990. "Price Reversals, Bid-Ask Spreads, and Market Efficiency," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(4), pages 535-547, December.
    22. Rozeff, Michael S. & Kinney, William Jr., 1976. "Capital market seasonality: The case of stock returns," Journal of Financial Economics, Elsevier, vol. 3(4), pages 379-402, October.
    23. Lasfer, M. Ameziane & Melnik, Arie & Thomas, Dylan C., 2003. "Short-term reaction of stock markets in stressful circumstances," Journal of Banking & Finance, Elsevier, vol. 27(10), pages 1959-1977, October.
    24. Gemmill, Gordon, 1996. "Transparency and Liquidity: A Study of Block Trades on the London Stock Exchange under Different Publication Rules," Journal of Finance, American Finance Association, vol. 51(5), pages 1765-1790, December.
    25. Robert Hudson & Kevin Keasey & Kevin Littler, 2001. "The risk and return of UK equities following price innovations: a case of market inefficiency?," Applied Financial Economics, Taylor & Francis Journals, vol. 11(2), pages 187-196.
    26. Kraus, Alan & Stoll, Hans R, 1972. "Price Impacts of Block Trading on the New York Stock Exchange," Journal of Finance, American Finance Association, vol. 27(3), pages 569-588, June.
    27. Brown, Keith C. & Harlow, W. V. & Tinic, Seha M., 1993. "The Risk and Required Return of Common Stock following Major Price Innovations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(1), pages 101-116, March.
    28. Gishan Dissanaike & Alexandre Le Fur, 2003. "On the Use of the Log CAR Measure in Event Studies," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30, pages 1165-1170.
    29. Heflin, Frank & Shaw, Kenneth W., 2000. "Blockholder Ownership and Market Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(4), pages 621-633, December.
    30. David Michayluk & Karyn L. Neuhauser, 2006. "Investor Overreaction During Market Declines: Evidence From The 1997 Asian Financial Crisis," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 29(2), pages 217-234, June.
    31. Gibbons, Michael R & Hess, Patrick, 1981. "Day of the Week Effects and Asset Returns," The Journal of Business, University of Chicago Press, vol. 54(4), pages 579-596, October.
    32. Lin, Ji-Chai & Sanger, Gary C & Booth, G Geoffrey, 1995. "Trade Size and Components of the Bid-Ask Spread," The Review of Financial Studies, Society for Financial Studies, vol. 8(4), pages 1153-1183.
    33. Madhavan, Ananth & Cheng, Minder, 1997. "In Search of Liquidity: Block Trades in the Upstairs and Downstairs Markets," The Review of Financial Studies, Society for Financial Studies, vol. 10(1), pages 175-203.
    34. Lin Peng & Turan G. Bali, 2006. "Is there a risk-return trade-off? Evidence from high-frequency data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1169-1198.
    35. Cox, Don R & Peterson, David R, 1994. "Stock Returns Following Large One-Day Declines: Evidence on Short-Term Reversals and Longer-Term Performance," Journal of Finance, American Finance Association, vol. 49(1), pages 255-267, March.
    36. Chong, Ryan & Hudson, Robert & Keasey, Kevin & Littler, Kevin, 2005. "Pre-holiday effects: International evidence on the decline and reversal of a stock market anomaly," Journal of International Money and Finance, Elsevier, vol. 24(8), pages 1226-1236, December.
    37. Park, Jinwoo, 1995. "A Market Microstructure Explanation for Predictable Variations in Stock Returns following Large Price Changes," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(2), pages 241-256, June.
    38. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    39. Gishan Dissanaike & Alexandre Le Fur, 2003. "On the Use of the Log CAR Measure in Event Studies," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(7‐8), pages 1165-1170, September.
    40. Peter Reinhard Hansen & Asger Lunde & James M. Nason, 2005. "Testing the significance of calendar effects," FRB Atlanta Working Paper 2005-02, Federal Reserve Bank of Atlanta.
    41. Huang, Roger D & Stoll, Hans R, 1997. "The Components of the Bid-Ask Spread: A General Approach," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 995-1034.
    42. Bokhari, Jawaad & Cai, Charlie & Hudson, Robert & Keasey, Kevin, 2005. "The predictive ability and profitability of technical trading rules: does company size matter?," Economics Letters, Elsevier, vol. 86(1), pages 21-27, January.
    43. Bremer, Marc & Sweeney, Richard J, 1991. "The Reversal of Large Stock-Price Decreases," Journal of Finance, American Finance Association, vol. 46(2), pages 747-754, June.
    44. Dann, Larry Y. & Mayers, David & Raab, Robert Jr., 1977. "Trading rules, large blocks and the speed of price adjustment," Journal of Financial Economics, Elsevier, vol. 4(1), pages 3-22, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Krishna Reddy & Rudi Bosman & Nawazish Mirza, 2019. "Impact Of Credit Ratings On Stock Returns," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 21(3), pages 343-366, January.
    2. Manju Tripathi & Smita Kashiramka & P. K. Jain, 2018. "Equity Risk Premium in India: Comparative Estimates from Historical Returns, Dividend and Earnings Models," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(1_suppl), pages 136-156, April.
    3. Danau, Daniel, 2020. "Prudence and preference for flexibility gain," European Journal of Operational Research, Elsevier, vol. 287(2), pages 776-785.
    4. Dmitry Bazhutov & André Betzer & Richard Stehle, 2023. "Beta estimation in the European network regulation context: what matters, what doesn’t, and what is indispensable," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(3), pages 239-275, September.
    5. João Vitor Leme & Wallace Casaca & Marilaine Colnago & Maurício Araújo Dias, 2020. "Towards Assessing the Electricity Demand in Brazil: Data-Driven Analysis and Ensemble Learning Models," Energies, MDPI, vol. 13(6), pages 1-20, March.
    6. Auer, Benjamin R., 2016. "On the performance of simple trading rules derived from the fractal dynamics of gold and silver price fluctuations," Finance Research Letters, Elsevier, vol. 16(C), pages 255-267.
    7. He, Xie & Hamori, Shigeyuki, 2021. "Is volatility spillover enough for investor decisions? A new viewpoint from higher moments," Journal of International Money and Finance, Elsevier, vol. 116(C).
    8. Francisco Amaral & Martin Dohmen & Sebastian Kohl & Moritz Schularick, 2021. "Superstar Returns," SciencePo Working papers Main hal-03881493, HAL.
    9. Tan T. M. Le & Franck Martin & Duc K. Nguyen, 2018. "Dynamic connectedness of global currencies: a conditional Granger-causality approach," Economics Working Paper Archive (University of Rennes & University of Caen) 2018-04, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    10. Guillaume Coqueret, 2022. "Characteristics-driven returns in equilibrium," Papers 2203.07865, arXiv.org.
    11. Junkai Wang & Robert Hudson, 2023. "Testing for herding using different return definitions: a comparison between simple and logarithmic returns," Economics Bulletin, AccessEcon, vol. 43(2), pages 1070-1080.
    12. Yong Kheng Goh & Haslifah M Hasim & Chris G Antonopoulos, 2018. "Inference of financial networks using the normalised mutual information rate," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-21, February.
    13. Cormac O’ Keeffe & Liam A. Gallagher, 2017. "The winner-loser anomaly: recent evidence from Greece," Applied Economics, Taylor & Francis Journals, vol. 49(47), pages 4718-4728, October.
    14. Hillen, Judith & Fedoseeva, Svetlana, 2021. "E-commerce and the end of price rigidity?," Journal of Business Research, Elsevier, vol. 125(C), pages 63-73.
    15. Alves, P.R.L., 2020. "Dynamic characteristic of Bitcoin cryptocurrency in the reconstruction scheme," Chaos, Solitons & Fractals, Elsevier, vol. 134(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amini, Shima & Gebka, Bartosz & Hudson, Robert & Keasey, Kevin, 2013. "A review of the international literature on the short term predictability of stock prices conditional on large prior price changes: Microstructure, behavioral and risk related explanations," International Review of Financial Analysis, Elsevier, vol. 26(C), pages 1-17.
    2. Vinay Patel, 2015. "Price Discovery in US and Australian Stock and Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 27, July-Dece.
    3. Vinay Patel, 2015. "Price Discovery in US and Australian Stock and Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 6-2015, January-A.
    4. Atanasova, Christina V. & Hudson, Robert S., 2010. "Technical trading rules and calendar anomalies -- Are they the same phenomena?," Economics Letters, Elsevier, vol. 106(2), pages 128-130, February.
    5. Patel, Vinay & Michayluk, David, 2016. "Return predictability following different drivers of large price changes," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 202-214.
    6. Mazouz, Khelifa & Joseph, Nathan L. & Joulmer, Joulmer, 2009. "Stock price reaction following large one-day price changes: UK evidence," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1481-1493, August.
    7. Amini, Shima & Hudson, Robert & Keasey, Kevin, 2010. "Stock return predictability despite low autocorrelation," Economics Letters, Elsevier, vol. 108(1), pages 101-103, July.
    8. Boubaker, Sabri & Farag, Hisham & Nguyen, Duc Khuong, 2015. "Short-term overreaction to specific events: Evidence from an emerging market," Research in International Business and Finance, Elsevier, vol. 35(C), pages 153-165.
    9. repec:rfb:journl:v:09:y:2017:i:2:p:007-026 is not listed on IDEAS
    10. Andrey Kudryavtsev, 2019. "Holiday Effect on Large Stock Price Changes," Annals of Economics and Finance, Society for AEF, vol. 20(2), pages 633-660, November.
    11. Andrey Kudryavtsev, 2017. ""I'll Think about it Tomorrow": Price Drifts Following Large Pre-Holiday Stock Price Moves," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 9(2), pages 043-062, December.
    12. Liam Ison & Robert Hudson, 2017. "Stock predictability and preceding stock price changes – evidence from central and eastern european markets," Economics Bulletin, AccessEcon, vol. 37(2), pages 733-740.
    13. Andrey Kudryavtsev, 2021. "Stock Price Dynamics Surrounding Company-Specific Shocks," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 7, pages 32-45.
    14. Mazouz, Khelifa & Joseph, Nathan Lael & Palliere, Clement, 2009. "Stock index reaction to large price changes: Evidence from major Asian stock indexes," Pacific-Basin Finance Journal, Elsevier, vol. 17(4), pages 444-459, September.
    15. Andrew Coutts & Christos Kaplanidis & Jennifer Roberts, 2000. "Security price anomalies in an emerging market: the case of the Athens Stock Exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 561-571.
    16. Borgards, Oliver & Czudaj, Robert L., 2020. "The prevalence of price overreactions in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    17. Guglielmo Maria Caporale & Alex Plastun, 2020. "Momentum effects in the cryptocurrency market after one-day abnormal returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(3), pages 251-266, September.
    18. Pham Dan Khanh & Pham Thanh Dat & Bui Huy Nhuong, 2020. "A Re-examination of the Holiday Effect in Stock Returns: The Case of Vietnam," Edelweiss Applied Science and Technology, Learning Gate, vol. 4(1), pages 51-54.
    19. Savor, Pavel G., 2012. "Stock returns after major price shocks: The impact of information," Journal of Financial Economics, Elsevier, vol. 106(3), pages 635-659.
    20. Andrey Kudryavtsev, 2019. "The Effect Of Trading Volumes On Stock Returns Following Large Price Moves," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 64(220), pages 85-116, January –.
    21. Nam, Kiseok & Washer, Kenneth M. & Chu, Quentin C., 2005. "Asymmetric return dynamics and technical trading strategies," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 391-418, February.

    More about this item

    Keywords

    Stocks; Logarithmic returns; Simple returns; Risk; Return; Observation periods; Intraday data;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finana:v:38:y:2015:i:c:p:151-162. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620166 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.