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What are you searching for? On the equivalence of proxies for online investor...

Publication date: Available online 23 December 2019Source: Finance Research LettersAuthor(s): Simon Behrendt, Philipp PrangeAbstractGoogle searches for stock tickers and company-specific Wikipedia...

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Intangible Factor and Idiosycratic Volatility Puzzles

Publication date: Available online 23 December 2019Source: Finance Research LettersAuthor(s): Xing LI, Keqiang HOU, Chao ZhangAbstractIn this paper, we explore whether intangible capital (IC) can help...

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A Bayesian Re-Interpretation of ”Significant” Empirical Financial...

Publication date: Available online 23 December 2019Source: Finance Research LettersAuthor(s): Ralf Kellner, Daniel RöschAbstractCurrently, the use of t statistics and p-values is under scrutiny in...

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From bottom ten to top ten: the role of cryptocurrencies in enhancing...

Publication date: Available online 23 December 2019Source: Finance Research LettersAuthor(s): Roman Matkovskyy, Akanksha Jalan, Michael Dowling, Taoufik BouraouiAbstractThis study attempts to analyze...

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Bitcoin volatility, stock market and investor sentiment. Are they connected?

Publication date: Available online 23 December 2019Source: Finance Research LettersAuthor(s): M. Ángeles López-Cabarcos, Ada M. Pérez-Pico, Juan Piñeiro-Chousa, Aleksandar ŠevićAbstractBitcoin is...

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Price Dynamics of Individual Stocks: Jumps and Information

Publication date: Available online 23 December 2019Source: Finance Research LettersAuthor(s): Yuewen Xiao, Jing ZhaoAbstractThis study examines individual stocks’ price dynamics by separating...

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Forecasting core inflation: the case of South Africa

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Heterogeneity and fine wine prices: application of the quantile regression...

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Economies of scale and mechanization in Chinese corn and wheat production

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From SRI to Shariah: A Bridge Not too Far

Usman Hayat, for the CFA Institute has written a provocative paper about the relationship between socially responsible investing on the one hand and Islamic finance on the other. His bottom line is...

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High-dimensional Statistical Arbitrage with Factor Models and Stochastic Control

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Relation between non-exchangeability and measures of concordance of copulas....

An investigation is presented of how a comprehensive choice of five most important measures of concordance (namely Spearman's rho, Kendall's tau, Gini's gamma, Blomqvist's beta, and their weaker...

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Learning the dynamics of technical trading strategies. (arXiv:1903.02228v3...

We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cost portfolio strategies. The learning algorithm is used to...

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Healthy Access for Healthy Places: A Multidimensional Food Access Measure....

When it comes to preventive healthcare, place matters. It is increasingly clear that social factors, particularly reliable access to healthy food, are as determinant to health and health equity as...

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Quantifying the Effects of the 2008 Recession using the Zillow Dataset....

This report explores the use of Zillow's housing metrics dataset to investigate the effects of the 2008 US subprime mortgage crisis on various US locales. We begin by exploring the causes of the...

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Predicting one type of technological motion? A nonlinear map to study the...

In this work we use a proven model to study a dynamic duopolistic competition between an old and a new technology which, through improved technical performance - e.g. data transmission capacity - fight...

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The Dynamics of Financial Markets: Fibonacci numbers, Elliott waves, and...

In this paper information theoretical approach is applied to the description of financial markets. A model which is expected to describe the markets dynamics is presented. It is shown the possibility...

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Online Quantification of Input Model Uncertainty by Two-Layer Importance...

Stochastic simulation has been widely used to analyze the performance of complex stochastic systems and facilitate decision making in those systems. Stochastic simulation is driven by the input model,...

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A Gated Recurrent Unit Approach to Bitcoin Price Prediction....

In today's era of big data, deep learning and artificial intelligence have formed the backbone for cryptocurrency portfolio optimization. Researchers have investigated various state of the art machine...

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Pricing and hedging American-style options with deep learning....

This paper describes a deep learning method for pricing and hedging American-style options. It first computes a candidate optimal stopping policy. From there it derives a lower bound for the price....

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