Results 21 to 30 of about 4,761 (177)

Anisotropic NMR as a Crucial Tool for Differentiation of Epimers With High Conformational Flexibility

open access: yesAngewandte Chemie, Volume 138, Issue 30, 20 July 2026.
Epimer discrimination remains challenging due to subtle NMR differences. Here, we propose a methodology based on 13C‐RCSA and RDC anisotropic parameters, enabling the assignment of two flexible tetraprenyltoluquinol epimers (1a and 1b) with remote stereoclusters.
Juan Carlos C. Fuentes‐Monteverde   +6 more
wiley   +2 more sources

The Effect of Stock Market Listing on Real Earnings Management: Evidence From Algerian Companies

open access: yesNaše Gospodarstvo, 2021
This paper aims to explore the effect of the Algiers Stock Exchange listing on real earnings management. The study included 14 non-financial non-listed companies during the period 2015-2019 and six non-financial listed companies during the period 2010 ...
Kimouche Bilal
doaj   +1 more source

Modeling S&P500 returns with GARCH models

open access: yesLatin American Journal of Central Banking, 2023
This paper provides several estimates of the GARCH models’ parameters for the S&P500 index, based on returns and CBOE VIX. Using a daily sample collected from 2007 to 2022, we can conclude that adding the VIX information improves the estimates of the ...
Rodrigo Alfaro, Alejandra Inzunza
doaj   +1 more source

A Binary Logistic Regression Model for Support Decision Making in Criminal Justice

open access: yesFolia Oeconomica Stetinensia, 2022
Research background: The economics of incarceration is having an increasing impact on the economies of the world due to the rapid growth in the number of prisoners in the world The search for effective solutions that can help reduce government spending ...
Berezka Kateryna M.   +4 more
doaj   +1 more source

Forecasting Value-at-Risk Using Conditional Volatility Models: Evidence from Tehran Stock Exchange [PDF]

open access: yesتحقیقات مالی, 2008
In this paper, we investigate the performance of parametric ARCH class models to forecast out-of-sample VaR for two portfolios of Tehran Stock Exchange (TSE) companies (Market portfolio and a portfolio of 50 liquid companies), using a number of ...
شاپور محمدی   +2 more
doaj  

Handling heteroskedasticity in labour demand functions of athletes

open access: yesCroatian Review of Economic, Business and Social Statistics, 2018
Based on previous research it can be stated that modelling sport economics related demand curves (e.g. demand for sport events and athletes) is different from other types of modelling.
Rappai Gábor, Fűrész Diána Ivett
doaj   +1 more source

South African Unemployment in the Post-Financial Crisis Era: What are the Determinants?

open access: yesFolia Oeconomica Stetinensia, 2020
Research background: High unemployment rates are one of the greatest economic challenges facing the post-apartheid South African government over the past two decades and this problem has become more worrisome in the post-global financial crisis period.
Mbekeni Lutho, Phiri Andrew
doaj   +1 more source

Value-at-Risk Estimation of Equity Market Risk in India

open access: yesActa Universitatis Sapientiae: Economics and Business, 2021
The value-at-risk (Va) method in market risk management is becoming a benchmark for measuring “market risk” for any financial instrument. The present study aims at examining which VaR model best describes the risk arising out of the Indian equity market (
Jitender
doaj   +1 more source

Principles and Criteria for using Statistical Parametric Models and Conditional Models for Valuation of Multi-Component Real Estate

open access: yesReal Estate Management and Valuation, 2019
The complexity of multi-component real properties results from the possibility of identifying various components in legal, physical or functional terms.
Adamczyk Tomasz   +2 more
doaj   +1 more source

The Influence of Unbalanced Economic Data on Feature Selection and Quality of Classifiers

open access: yesFolia Oeconomica Stetinensia, 2020
Research background: The successful learning of classifiers depends on the quality of data. Modeling is especially difficult when the data are unbalanced or contain many irrelevant variables. This is the case in many applications.
Kubus Mariusz
doaj   +1 more source

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