
- •Contents
- •Introduction
- •Context
- •Graph 1 – Situation X da – company a’s demand dc – competitors’ demand
- •Financial Data Mining Literature
- •Picture 1 – Word ratio and stock performance visual comparison (Nagar and Hahsler 2012, pp. 15)
- •Competitors’ Effect Literature
- •Critical Analysis and Gap in Research
- •Proportion of competitors’ influence on the stock return
- •Proportion of the news’ effect on competitor(s)’ return
- •Justification
- •Industry return as control variable
- •Controlling for the market
- •Graph 3 – Agilent Technologies squared returns
- •Ratio Analysis
- •Competitors’ Influence - Regression
- •Industry return as control variable
- •Influence on Competitors – Regression
- •Regression analysis results
- •Industry return as control variable
- •Conclusion
- •Proportion of competitors’ influence on the stock return
- •Industry return as control variable
- •Proportion of the news’ effect on competitor(s)’ return
- •Possibility for practical use
- •Limitations of the research
- •Recommendations for future study
- •References
- •Appendix
Recommendations for future study
There are several recommendations for future studies in the area.
The first is to analyse the news articles themselves. In the article the presence of news is inducted from the returns. However, articles can be sorted into important and unimportant, whether they would cause Situation X or Situation Y and if the returns are caused by market-wide or company-specific news. By direct filtering out of only important company-specific news Situation-Y type events will be estimated to be less common (in this study some market-wide news effect could have persisted even after controlling for the market return). Then the ratio of Situation X to Situation Y will be higher and more arbitrage opportunities will be detected.
The second recommendation is to test intraday data for the duration of price adjustments. Two separate durations should be compared: speed of reaction to direct news and speed of reaction to competitor’s news. This paper assumes the second speed to be lower due to the fact that data-mining software is not as sophisticated at this point.
Another recommendation would be a better selection of competitor groups. Only companies that are in oligopolistic markets should be chosen. Also, the competitors have to be identified by the using the most recent information. For example, Qualcomm’s main business is identified as a modem manufacturing (Yahoo Finance QCOM:Summary). However, Qualcomm has been a major supplier of CPUs for smartphones for the last several years, which puts it into competition with NVidia, AMD and Intel. This information has to be accounted for.
References
Datastream, 2013, iShares Standard and Poor's Gsti Technology Index Fund daily returns. Available from: Datastream. [27 November, 2013].
Datastream, 2013, Standard and Poor’s 500 Technology and Hardware Equipment constituents’ daily returns. Available from: Datastream. [27 November, 2013].
Yahoo Finance, [Company Ticker]: Summary for [Company name], available from: http://finance.yahoo.com/q?s=[Company_Ticker], accessed 20 February 2014. Company names and tickers are in the table below
Yahoo Finance, [Company Ticker] Competitors | [Company name], available from: http://finance.yahoo.com/q?s=[Company_Ticker]+Competitor, accessed 20 February 2014. Company names and tickers are in the table below
Company Name |
Company Ticker |
Company Name |
Company Ticker |
ANALOG DEVICES |
ADI |
LEXMARK INTL. |
LXK |
ADVANCED MICRO DEVC. |
AMD |
LINEAR TECH. |
LLTC |
AGILENT TECHS. |
A |
NCR |
NCR |
ALTERA |
ALTR |
MAXIM INTEGRATED PRDS. |
MXIM |
APPLE |
AAPL |
MICRON TECHNOLOGY |
MU |
APPLIED MATS. |
AMAT |
MICROSOFT |
MSFT |
APPLIED MICRO CIRCUITS |
AMCC |
MOTOROLA SOLUTIONS |
MSI |
COMVERSE TECH. |
512628 |
PMC-SIERRA |
PMCS |
BROADCOM 'A' |
BRCM |
NETAPP |
NTAP |
CIENA |
CIEN |
NORTEL NETWORKS (OTC) |
NRTLQ |
CISCO SYSTEMS |
CSCO |
NOVELLUS SYSTEMS |
777266 |
CORNING |
GLW |
SANMINA |
SANM |
DELL |
772203 |
PERKINELMER |
PKI |
EMC |
EMC |
QLOGIC |
QLGC |
FB |
QUALCOMM |
QCOM |
|
GOOG |
XILINX |
XLNX |
|
JABIL CIRCUIT |
JBL |
TELLABS |
TLAB |
HEWLETT-PACKARD |
HPQ |
TERADYNE |
TER |
INTEL |
INTC |
TEXAS INSTS. |
TXN |
INTERNATIONAL BUS.MCHS. |
IBM |
THERMO FISHER SCIENTIFIC |
TMO |
JDS UNIPHASE |
JDSU |
VITESSE SEMICON. |
VTSS |
KLA TENCOR |
KLAC |
XEROX |
XRX |
LSI |
LSI |
XILINX |
XLNX |
|
YAHOO |
YHOO |
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