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Dividend growth predictability and the price-dividend ratio
Piatti, Ilaria; Trojani, Fabio - 2012 - This version: October 2012
Conventional tests of present-value models over-reject the null of no predictability. In order to better account for the intrinsic probability of detecting predictive relations by chance alone, we develop a new nonparametric Monte Carlo testing method, which does not rely on distributional...
Persistent link: https://www.econbiz.de/10009684124
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Deep learning for asset bubbles detection
Bashchenko, Oksana; Marchal, Alexis - 2020
We develop a methodology for detecting asset bubbles using a neural network. We rely on the theory of local martingales … the current estimator, obtaining an improved detection of bubbles. We show the outperformance of our algorithm over the … and build a zero net exposure trading strategy that exploits the risky arbitrage emanating from the presence of bubbles in …
Persistent link: https://www.econbiz.de/10012181227
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Identification and critical time forecasting of real estate bubbles in the USA and Switzerland
Ardila, Diego; Sanadgol, Dorsa; Cauwels, Peter; … - 2014
We present a hybrid model for diagnosis and critical time forecasting of real estate bubbles. The model combines two … that the model is able to forecast the end of the bubbles and to identify variables highly relevant during the bubble …
Persistent link: https://www.econbiz.de/10010411858
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Testing for threshold effect in ARFIMA models : application to US unemployment rate data
Lahiani, Amine; Scaillet, Olivier - 2008
Macroeconomic time series often involve a threshold effect in their ARMA representation, and exhibit long memory features. In this paper we introduce a new class of threshold ARFIMA models to account for this. The threshold effect is introduced in the autoregressive and/or the fractional...
Persistent link: https://www.econbiz.de/10003966199
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A higher-order correct fast moving-average bootstrap for dependent data
La Vecchia, Davide; Moor, Alban; Scaillet, Olivier - 2020
We develop theory of a novel fast bootstrap for dependent data. Our scheme deploys i.i.d. resampling of smoothed moment indicators. We characterize the class of parametric and semiparametric estimation problems for which the method is valid. We show the asymptotic re refinements of the new...
Persistent link: https://www.econbiz.de/10012179669
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Estimation of large dimensional conditional factor models in finance
Gagliardini, Patrick; Ossola, Elisa; Scaillet, Olivier - 2019 - This version: August 2019
This chapter surveys recent econometric methodologies for inference in large dimensional conditional factor models in finance. Changes in the business cycle and asset characteristics induce time variation in factor loadings and risk premia to be accounted for. The growing trend in the use of...
Persistent link: https://www.econbiz.de/10012101166
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Are there periodically collapsing bubbles in the stock markets? : new international evidence
Chen, Shyh-Wei; Hsu, Chi-Sheng; Xie, Zixong - In: Economic modelling 52 (2016), pp. 442-451
Persistent link: https://www.econbiz.de/10011642804
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Testing the stochastic disorder model on stock markets
Sokko, Anastasiia - 2017
This paper examines real-time applications of quickest disorder detection techniques for timing stock markets. The focus is on the stochastic disorder model by Shiryaev, Zhitlukhin, and Ziemba (2014, 2015), Zhitlukhin and Ziemba (2016) and their optimal stopping rule. The model uses sequential...
Persistent link: https://www.econbiz.de/10011875860
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Asset pricing with arbitrage activity
Hugonnier, Julien; Prieto, Rodolfo - 2013
We study an economy populated by three groups of logarithmic agents: Constrained agents subject to a portfolio constraint that limits their risk-taking, unconstrained agents subject to a standard nonnegative wealth constraint, and arbitrageurs with access to uncollateralized credit. Such credit...
Persistent link: https://www.econbiz.de/10010257492
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Super-exponential growth expectations and the global financial crisis
Leiss, Matthias; Nax, Heinrich H.; Sornette, Didier - 2014
We construct risk-neutral return probability distributions from S&P 500 options data over the decade 2003 to 2013, separable into pre-crisis, crisis and post-crisis regimes. The pre-crisis period is characterized by increasing realized and, especially, option-implied returns. This translates...
Persistent link: https://www.econbiz.de/10010443041