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Found 17 papers, 0 papers with code
Unleashing the Power of AI. A Systematic Review of Cutting-Edge Techniques in AI-Enhanced Scientometrics, Webometrics, and Bibliometrics
(ii) In terms of webometrics, AI algorithms are able to enhance web crawling and data collection, web link analysis, web content analysis, social media analysis, web impact analysis, and recommender systems.
Portfolio Volatility Estimation Relative to Stock Market Cross-Sectional Intrinsic Entropy
This article introduces CSIE-based betas to characterise the relative volatility risk of the portfolio against market indices and the market as a whole.
An Intrinsic Entropy Model for Exchange-Traded Securities
This article introduces an intrinsic entropy model that can be used as an indicator to gauge investor interest in a given exchange-traded security, along with the state of the general market corroborated by individual security trade data.
A Volatility Estimator of Stock Market Indices Based on the Intrinsic Entropy Model
This paper presents the results of employing the intrinsic entropy model as a substitute for estimating the volatility of stock market indices.
The Cross-Sectional Intrinsic Entropy. A Comprehensive Stock Market Volatility Estimator
To take into account the temporal dimension of uncertainty in stock markets, this paper introduces a cross-sectional estimation of stock market volatility based on the intrinsic entropy model.
An Intergenerational Issue: The Equity Issues due to Public-Private Partnerships. The Critical Aspect of the Social Discount Rate Choice for Future Generations
We conclude that our study hopefully provides a good analytical framework for policymakers in order to draw on the merits of ethical theories before initiating public policies like PPPs.
Economic Freedom: The Top, the Bottom, and the Reality. I. 1997-2007
Semi-log plots show that the EFW-rank relationship is exponential for countries of high rank ($\ge 20$); overall the log-log plots point to a behaviour close to a power law.
Stock index futures trading impact on spot price volatility. The CSI 300 studied with a TGARCH model
A TGARCH modeling is argued to be the optimal basis for investigating the impact of index futures trading on spot price variability.
Benford's laws tests on S&P500 daily closing values and the corresponding daily log-returns both point to huge non-conformity
The so-called Benford's laws are of frequent use in order to observe anomalies and regularities in data sets, in particular, in election results and financial statements.
Challenging Practical Features of Bitcoin by the Main Altcoins
We study the fundamental differences that separate: Litecoin; Bitcoin Gold; Bitcoin Cash; Ethereum; and Zcash from Bitcoin, and draw analysis to how these features are appreciated by the market, to ultimately make an inference as to how future successful cryptocurrencies may behave.
Insider trading in the run-up to merger announcements. Before and after the UK's Financial Services Act 2012
The Financial Services Act 2012 was developed as a result in order to give more control and authority to the regulators of financial markets.
Valuation Models Applied to Value-Based Management. Application to the Case of UK Companies with Problems
I aim at promoting an objective choice on how optimizing the most suitable valuation methods under a value-based management framework through some performance measurement systems.
Simple approaches on how to discover promising strategies for efficient enterprise performance, at time of crisis in the case of SMEs : Voronoi clustering and outlier effects perspective
The variables of interest are analyzed and compared through statistical techniques and by adopting a cluster analysis.
Corporate Governance and Firms Financial Performance in the United Kingdom
The objective of this study is to examine empirically the impact of good corporate governance on financial performance of United Kingdom non-financial listed firms.
Words ranking and Hirsch index for identifying the core of the hapaxes in political texts
We discuss the resulting list of words in the light of the overall US Presidents' speeches.
A joint text mining-rank size investigation of the rhetoric structures of the US Presidents' speeches
The scientific significance of the proposed combination of text-mining and rank-size approaches can be found in its flexibility and generality, which let it be reproducible to a wide set of expert systems and text mining contexts.
Artificial intelligence in peer review: How can evolutionary computation support journal editors?
With the volume of manuscripts submitted for publication growing every year, the deficiencies of peer review (e. g. long review times) are becoming more apparent.
