Stock market volatility, speculation and unemployment: A Granger-causality analysis

被引:4
|
作者
Algieri, Bernardina [1 ,2 ]
Brancaccio, Emiliano [3 ]
Buonaguidi, Damiano [4 ,5 ]
机构
[1] Univ Calabria, Calabria, Italy
[2] Univ Bonn, Bonn, Germany
[3] Univ Sannio, Benevento, Italy
[4] Univ Florence Pisa & Siena, Florence, Italy
[5] Italian Minist Econ, Rome, Italy
关键词
Speculative trading; stock price volatility; stock market; Shiller ratio; Present Value Model; VARIANCE-BOUNDS TESTS; PRICE VOLATILITY; ASSET PRICES; ECONOMETRIC-MODELS; FINANCIAL-MARKETS; COMMODITY-MARKETS; TEMPORAL BEHAVIOR; HABIT FORMATION; EQUITY PREMIUM; TRADING VOLUME;
D O I
10.13133/2037-3643_73.293_3
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study investigates the possible Granger-causal relations between stock price volatility and dividend dynamics on the one hand, and speculation and unemployment on the other. The analysis is carried out for the US over the period 1982-2018. Stock price volatility is calculated in terms of "conditional" volatility and in terms of the so-called "Shiller ratio", while speculative trading is expressed as "scalping" activities. We find that there is a causal positive relation from speculation to stock price volatility. Furthermore, we show that there is an inverse causal relationship ranging from stock prices to unemployment, while there is no causal relationship between dividends and unemployment. These results corroborate the empirical analyses by Shiller and other authors which deny the traditional Present Value Model (PVM), provide new elements on the possible determinants of stock price volatility, and offer new interpretations of the potential links between the stock market and macroeconomic dynamics.
引用
收藏
页码:137 / 160
页数:24
相关论文
共 50 条
  • [41] Energy use and economic growth in Africa: a panel Granger-causality investigation
    Arouri, Mohamed El Hedi
    Ben Youssef, Adel
    M'Henni, Hatem
    Rault, Christophe
    ECONOMICS BULLETIN, 2014, 34 (02): : 1247 - 1258
  • [42] Average earnings, minimum wages and Granger-causality in agriculture in England and Wales
    Tiffin, R
    Dawson, PJ
    OXFORD BULLETIN OF ECONOMICS AND STATISTICS, 1996, 58 (03) : 435 - +
  • [43] Granger-causality in quantiles between financial markets: Using copula approach
    Lee, Tae-Hwy
    Yang, Weiping
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2014, 33 : 70 - 78
  • [45] Main driving factors of the interest rate-stock market Granger causality
    Jammazi, Rania
    Ferrer, Roman
    Jareno, Francisco
    Hammoudeh, Shawkat M.
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2017, 52 : 260 - 280
  • [46] AN IMPROVED METHOD OF GRANGER CAUSALITY TEST AND APPLICATION ON THE STOCK MARKET RISK TRANSMISSION
    Zhang, Lijun
    Yao, Xu
    ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2015, 49 (02): : 323 - 341
  • [47] Stock Market Integration: Granger Causality Testing with Respect to Nonsynchronous Trading Effects
    Baumoehl, Eduard
    Vyrost, Tomas
    FINANCE A UVER-CZECH JOURNAL OF ECONOMICS AND FINANCE, 2010, 60 (05): : 414 - 425
  • [48] Time, frequency, and time-varying Granger-causality measures in neuroscience
    Cekic, Sezen
    Grandjean, Didier
    Renaud, Olivier
    STATISTICS IN MEDICINE, 2018, 37 (11) : 1910 - 1931
  • [49] Measuring the propagation of financial distress with Granger-causality tail risk networks
    Corsi, Fulvio
    Lillo, Fabrizio
    Pirino, Davide
    Trapin, Luca
    JOURNAL OF FINANCIAL STABILITY, 2018, 38 : 18 - 36
  • [50] Analysis of Causality in Stock Market Data
    Hendahewa, Chathra
    Pavlovic, Vladimir
    2012 11TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2012), VOL 1, 2012, : 288 - 293