Sup-ADF-style bubble detection methods under test

التفاصيل البيبلوغرافية
العنوان: Sup-ADF-style bubble detection methods under test
المؤلفون: Monschang, Verena, Wilfling, Bernd
بيانات النشر: ZBW - Leibniz-Informationszentrum Wirtschaft
سنة النشر: 2019
المجموعة: EconStor (German National Library of Economics, ZBW)
مصطلحات موضوعية: ddc:330, C15, C32, C58, G15, Stock markets, present-value model, rational bubble, explosiveness, SADF and GSADF tests, bubble detection, date-stamping
الوصف: In this paper we analyze the performance of supremum augmented Dickey-Fuller (SADF), generalized SADF (GSADF), and backward SADF (BSADF) tests, as introduced by Phillips et al. (International Economic Review 56:1043-1078, 2015) for detecting and date-stamping financial bubbles. In Monte Carlo simulations, we show that the SADF and GSADF tests may reveal substantial size distortions under typical financial-market characteristics (like the empirically well-documented leverage effect). We consider the rational bubble specification suggested by Rotermann and Wiling (Applied Economics Letters 25:1091-1096, 2018) that is able to generate realistic stock-price dynamics (in terms of level trajectories and volatility paths). Simulating stock-price trajectories that contain these parametric bubbles, we demonstrate that the SADF and GSADF tests can have extremely low power under a wide range of bubble-parameter constellations. In an empirical analysis, we use NASDAQ data covering a time-span of 45 years and find that the outcomes of the bubble date-stamping procedure (based on the BSADF test) are sensitive to the data-frequency chosen by the econometrician.
نوع الوثيقة: conference object
اللغة: English
Relation: Series: Beiträge zur Jahrestagung des Vereins für Socialpolitik 2019: 30 Jahre Mauerfall - Demokratie und Marktwirtschaft - Session: Econometrics; No. G08-V4; gbv-ppn:1733687203; http://hdl.handle.net/10419/203568; RePEc:zbw:vfsc19:203568
الاتاحة: http://hdl.handle.net/10419/203568
Rights: http://www.econstor.eu/dspace/Nutzungsbedingungen
رقم الانضمام: edsbas.77EC52AC
قاعدة البيانات: BASE