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Empirical Economics

Erschienen in:

06.06.2020

Crises, market shocks, and herding behavior in stock price forecasts

verfasst von: Yoichi Tsuchiya

Erschienen in: Empirical Economics | Ausgabe 2/2021

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Abstract

This study examines the (anti-) herding behaviors of stock price forecasters, focusing on whether their behaviors are time-varying. It studies stock price forecasts for the Nikkei 225 price index from the ESP Forecast in Japan based on nonparametric methods. Empirical results show that stock price forecasters are likely to anti-herd, and the uncertainty caused by financial crises and market shocks is related to the prevalence of (anti-) herding. This study finds that an increase in forecast uncertainty works in both directions, toward herding and anti-herding. Unprecedented shocks, including the financial crises, European sovereign debt crisis, and newly introduced policy packages by Abenomics, increase incentives to differentiate forecasts from others, possibly due to reputation or superstar effects. However, some market shocks, including the BNP Paribas shock and the China shock, intensified herding or lessened anti-herding.

Vorheriger Artikel Return and volatility spillovers to African equity markets and their determinants

Nächster Artikel Multivariate time-varying parameter modelling for stock markets

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Abenomics refers to a new unconventional macroeconomic policy regime in Japan, which was introduced by Shinzo Abe, the prime minister who came to office in December 2012. For more information on Abenomics, see Hausman and Wieland (2014) and Hausman and Wieland (2015).

Hood et al. (2013) showed that foreign investors contributed to stabilizing the financial markets. See Hood et al. (2013) and the references therein for more details on the earthquake.

Jackowicz et al. (2017) found that investors’ reactions to Brexit were modest. See Jackowicz et al. (2017) and the references therein for more details on Brexit.

Shaikh (2017) found that the US presidential election in 2016 had only short-run impacts on global financial markets. See Shaikh (2017) and the references therein for more details on the election.

The empirical results using March 2009 as the end of the period do not alter qualitative results.

Results excluding forecasters with relatively few observations are generally consistent with those including all forecasters. Although this analysis is not reported here, it is available upon request.

Clements (2018) provided a critical discussion on the method used in this study.

The subprime crisis period was also characterized by a substantial supply shock that occurred when oil and other commodity prices rose sharply until the summer of 2008, but then declined precipitously thereafter. Therefore, it is essentially difficult to ignore the impact of the supply shock.

The results are generally robust to the number of windows for rolling estimations. Although they are not reported here, they are available upon request.

Although not reported in this paper, robustness check with median forecasts provides the same qualitative results.

Ashiya M (2009) Strategic bias and professional affiliations of macroeconomic forecasters. J Forecast 28(2):120–130CrossRef

Bernhardt D, Campello M, Kutsoati E (2006) Who herds? J Financ Econ 80(3):657–675CrossRef

Bewley R, Fiebig DG (2002) On the herding instinct of interest rate forecasters. Empir Econ 27(3):403–425CrossRef

Brown BW, Maital S (1981) What do economists know? An empirical study of experts’ expectations. Econometrica 49(2):491–504CrossRef

Bruneau C, Delatte A-L, Fouquau J (2014) Was the European sovereign debt crisis self-fulfilling? Empirical evidence about the drivers of market sentiments. J Macroecon 42:38–51CrossRef

Clements MP (2014) Forecast uncertainty—ex ante and ex post: US inflation and output growth. J Bus Econ Stat 32(2):206–216CrossRef

Clements MP (2018) Do macroforecasters herd? J Money Credit Bank 50(2–3):265–292CrossRef

Cowles A 3rd (1933) Can stock market forecasters forecast? Econometrica 1(3):309–324CrossRef

Dokko Y, Edelstein RH (1989) How well do economists forecast stock market prices? A study of the Livingston surveys. Amer Econ Rev 79(4):865–871

Ehrbeck T, Waldmann R (1996) Why are professional forecasters biased? Agency versus behavioral explanations. Quart J Econ 111(1):21–40CrossRef

Frenkel M, Rülke JC, Zimmermann L (2012) Do Current Account Forecasters Herd? Evidence from the Euro Area and the G7 Countries. Rev Int Econ 20(2):221–236CrossRef

Frenkel M, Rülke J-C, Mauch M (2019) Do forecasters of major exchange rates herd? Econ Modelling 84:214–221CrossRef

Fukuda S-I (2015) Abenomics: Why was it so successful in changing market expectations? J Jpn Int Econ 37:1–20CrossRef

Gallo GM, Granger CW, Jeon Y (2002) Copycats and common swings: the impact of the use of forecasts in information sets. IMF staff Papers 49(1):4–21

Hausman JK, Wieland JF (2014) Abenomics: preliminary analysis and outlook. Brookings Pap Econ Act 1:1–63CrossRef

Hausman JK, Wieland JF (2015) Overcoming the Lost Decades?: Abenomics after Three Years. Brookings Pap Econ Act 2:385–431CrossRef

Hood M, Kamesaka A, Nofsinger J, Tamura T (2013) Investor response to a natural disaster: evidence from Japan’s 2011 earthquake. Pac-Basin Financ J 25:240–252CrossRef

Jackowicz K, Kozłowski Ł, Podgórski B (2017) The distant echo of Brexit: did exporters suffer the most? Financ Res Lett 21:132–139CrossRef

Lakonishok J (1980) Stock market return expectations: some general properties. J Finance 35(4):921–931CrossRef

Lamont OA (2002) Macroeconomic forecasts and microeconomic forecasters. J Econ Behav Organ 48(3):265–280CrossRef

Laster D, Bennett P, Geoum IS (1999) Rational bias in macroeconomic forecasts. Quart J Econ 114(1):293–318CrossRef

Naujoks M, Aretz K, Kerl AG, Walter A (2009) Do German security analysts herd? Financ Mark Portf Manag 23(1):3–29CrossRef

Ottaviani M, Sørensen PN (2006) The strategy of professional forecasting. J Finan Econ 81(2):441–466CrossRef

Pearce DK (1984) An empirical analysis of expected stock price movements. J Money Credit Bank 16(3):317–327CrossRef

Pierdzioch C, Rülke J-C (2012) Forecasting stock prices: do forecasters herd? Econ Lett 116(3):326–329CrossRef

Pierdzioch C, Rülke J-C (2013) A note on the anti-herding instinct of interest rate forecasters. Empir Econ 45(2):665–673CrossRef

Pierdzioch C, Rülke JC, Stadtmann G (2012) A note on forecasting emerging market exchange rates: evidence of anti-herding. Rev Int Econ 20(5):974–984CrossRef

Pierdzioch C, Rülke J-C, Stadtmann G (2013) Forecasting metal prices: do forecasters herd? J Bank Financ 37(1):150–158CrossRef

Pons-Novell J (2003) Strategic bias, herding behaviour and economic forecasts. J Forecast 22(1):67–77CrossRef

Rülke J-C, Silgoner M, Wörz J (2016) Herding behavior of business cycle forecasters. Int J Forecast 32(1):23–33CrossRef

Scharfstein DS, Stein JC (1990) Herd behavior and investment. Am Econ Rev 80(3):465–479

Shaikh I (2017) The 2016 US presidential election and the Stock, FX and VIX markets. North Am J Econ Financ 42:546–563CrossRef

Zarnowitz V, Lambros LA (1987) Consensus and uncertainty in economic prediction. J Polit Econ 95(3):591–621CrossRef

Titel: Crises, market shocks, and herding behavior in stock price forecasts
verfasst von: Yoichi Tsuchiya
Publikationsdatum: 06.06.2020
Verlag: Springer Berlin Heidelberg
Erschienen in: Empirical Economics / Ausgabe 2/2021
Print ISSN: 0377-7332
Elektronische ISSN: 1435-8921
DOI: https://doi.org/10.1007/s00181-020-01894-4

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