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Predicting FTSE 100 returns and volatility using sentiment analysis

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

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Predicting FTSE 100 returns and volatility using sentiment analysis. / Johnman, Mark; Vanstone, Bruce J; Gepp, Adrian.
Yn: Accounting and Finance , Cyfrol 58, Rhif S1, 01.11.2018, t. 253-274.

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

HarvardHarvard

Johnman, M, Vanstone, BJ & Gepp, A 2018, 'Predicting FTSE 100 returns and volatility using sentiment analysis', Accounting and Finance , cyfrol. 58, rhif S1, tt. 253-274. https://doi.org/10.1111/acfi.12373

APA

Johnman, M., Vanstone, B. J., & Gepp, A. (2018). Predicting FTSE 100 returns and volatility using sentiment analysis. Accounting and Finance , 58(S1), 253-274. https://doi.org/10.1111/acfi.12373

CBE

Johnman M, Vanstone BJ, Gepp A. 2018. Predicting FTSE 100 returns and volatility using sentiment analysis. Accounting and Finance . 58(S1):253-274. https://doi.org/10.1111/acfi.12373

MLA

Johnman, Mark, Bruce J Vanstone, a Adrian Gepp. "Predicting FTSE 100 returns and volatility using sentiment analysis". Accounting and Finance . 2018, 58(S1). 253-274. https://doi.org/10.1111/acfi.12373

VancouverVancouver

Johnman M, Vanstone BJ, Gepp A. Predicting FTSE 100 returns and volatility using sentiment analysis. Accounting and Finance . 2018 Tach 1;58(S1):253-274. doi: 10.1111/acfi.12373

Author

Johnman, Mark ; Vanstone, Bruce J ; Gepp, Adrian. / Predicting FTSE 100 returns and volatility using sentiment analysis. Yn: Accounting and Finance . 2018 ; Cyfrol 58, Rhif S1. tt. 253-274.

RIS

TY - JOUR

T1 - Predicting FTSE 100 returns and volatility using sentiment analysis

AU - Johnman, Mark

AU - Vanstone, Bruce J

AU - Gepp, Adrian

PY - 2018/11/1

Y1 - 2018/11/1

N2 - We investigate the statistical and economic effect of positive and negative sentiment on daily excess returns and volatility in the FTSE 100 index, using business news articles published by the Guardian Media Group between 01/01/2000 and 01/06/2016. The analysis indicates that while business news sentiment derived from articles aimed at retail traders does not influence excess returns in the FTSE 100 index, it does affect volatility, with negative sentiment increasing volatility and positive sentiment reducing it. Further, an ETF‐based trading strategy based on these findings is found to outperform the naïve buy‐and‐hold approach.

AB - We investigate the statistical and economic effect of positive and negative sentiment on daily excess returns and volatility in the FTSE 100 index, using business news articles published by the Guardian Media Group between 01/01/2000 and 01/06/2016. The analysis indicates that while business news sentiment derived from articles aimed at retail traders does not influence excess returns in the FTSE 100 index, it does affect volatility, with negative sentiment increasing volatility and positive sentiment reducing it. Further, an ETF‐based trading strategy based on these findings is found to outperform the naïve buy‐and‐hold approach.

U2 - 10.1111/acfi.12373

DO - 10.1111/acfi.12373

M3 - Article

VL - 58

SP - 253

EP - 274

JO - Accounting and Finance

JF - Accounting and Finance

SN - 0810-5391

IS - S1

ER -