Search Results - subject_exact:"Financial analysis"

Human resource management factors in financial analysis of securities companies

Mo, Nguyen Thi; Tien, Cao Minh; Tran Thi Lan Anh; Hai, … - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014632181

A survey of corporate finance practices in micro-enterprises : an exploratory analysis conditional on firm and manager characteristics

Francisco, Paulo Morais - 2024

This study outlines the findings from a survey of 208 micro-enterprises (MEs) in Portugal, focusing on their corporate finance practices, including working capital management (WCM), financing and investment decisions, the adoption of accounting information systems (AIS) and the use of financial...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015449201

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A survey of corporate finance practices in micro-enterprises: an exploratory analysis conditional on firm and manager characteristics

Francisco, Paulo Morais - 2024

Article

A predictive analytics approach for forecasting global stock index returns using deep learning techniques

Hu, Liang; Shen, Yinru - 2026

Accurately predicting stock index returns remains a critical yet complex task due to the inherent volatility of financial markets and the intricate temporal dependencies within financial time series. This study presents a robust machine learning framework to forecast the relative returns of...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654339

Alaska gold company : using financial analysis to uncover a firm's underlying economics

Bowen, Robert M.; Jollineau, S. Jane; Pfeiffer, Glenn - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015046114

Python for Accounting and Finance : An Integrative Approach to Using Python for Research

Kumar, Sunil - 2024

Chapter 1: Introduction and Fundamentals -- Chapter 2: Data Acquisition and Cleaning -- Chapter 3: Exploratory Data Analysis and Visualization -- Chapter 4: Natural Language Processing and Text Analysis -- Chapter 5: Machine Learning and Predictive Analytics -- Chapter 6: Advanced Topics. .

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014565975

ESG-driven digital performance measurement and decision support in vegan food firms

Toudas, Kanellos S.; Nika, Pandora P.; Giannakopoulos, … - 2026

Despite the growing importance of Environmental, Social, and Governance (ESG) performance in shaping brand perception and consumer trust, limited empirical evidence exists on how ESG indicators translate into measurable digital consumer engagement outcomes, particularly in ethically driven...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654731

Establishment-level life cycle and analysts' forecasts

Basu, Sudipta; Dai, Xin; Lee, Caroline - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015609751

Forecasting stock market behavior in BRICS economies using artificial neural machine learning models

Panigrahi, Shrikant; Kukreja, Gagan; Kumaraswamy, Sumathi - 2026

Purpose - This study aims to forecast the stock market behavior of BRICS nations (Brazil, Russia, India, China and South Africa) using advanced machine learning models. The focus is on identifying market trends, predicting future index prices and analyzing returns. Design/methodology/approach -...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015592502

A momentum-based normalization framework for generating profitable analyst sentiment signals

McCarthy, Shawn; Alaghband, Gita - 2026

The diverse rating scales used by brokerage firms pose significant challenges for aggregating analyst recommendations in financial research. We develop a momentum-based normalization framework that transforms heterogeneous rating changes into standardized sentiment signals using firm-relative,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015591134

Machine learning mutual fund flows

Fausch, Jürg; Frigg, Moreno; Ruenzi, Stefan; Weigert, … - 2026 - This draft: May 03, 2025

We present improved out-of-sample predictability of future fund flows using state-of-the-art machine learning methods. Nonlinear machine learning models significantly outperform linear models in terms of out-of-sample R-squared. Using interpretable ML methods, we identify past flows and the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015605608

Employer expectations of business analysts : knowledge and insights from job offer analysis

Kowalska-Styczeń, Agnieszka; Juszczyk, Kinga - 2026

This study analyzed 1480 job advertisements for business analysts using natural language processing (NLP) and sentiment analysis. While confirming the demand for technical, analytical and communication skills, the study reveals important patterns that expand upon existing knowledge....

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015606812

How effective is mamba-augmented transformer for stock market price forecasting?

Shuvo, Md Shahria Sarker; Adib, Awsaf Tausif; Emon, Md … - 2026

Stock price forecasting remains challenging due to the non-linear, noisy, and non-stationary nature of financial time series. Although LSTMs and Transformer-based models have improved sequential modeling, their ability to scale efficiently to long financial sequences remains limited. Recently,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015628622

Analyst career concerns and stock price crash risk

Ali, Muhammad Jahangir; Azam, Md. Saiful; Baghdadi, Ghasan - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015640965

Fundamental growth

Arnott, Rob; Brightman, Chris; Harvey, Campbell R.; Que … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015647191

ESG expertise and analysts' roles in capital markets

Wei, Yixin (Lucy); Cahan, Steven F.; Chen, Li - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015647541

Trade and development foresights 2026 : global economy faces a geopolitical challenge : an update on the Trade and Development Report 2025 : technical and statistical report

2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015647643

Predicting stock market trends using convolutional neural networks : a deep learning approach

Özkul, Ege - 2026

Technical analysis aims to predict stock returns based on price and volume patterns and has seen growing adoption of machine learning methods. However, most approaches rely on hand-crafted features. This paper investigates whether deep learning applied to stock chart images can predict future...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015652027

A Macroeconomic Perspective on Stock Market Valuation Ratios

Atkeson, Andrew; Heathcote, Jonathan; Perri, Fabrizio - 2026

Traditional valuation metrics for the U.S. stock market based on a comparison of the aggregate market value of U.S. corporations to measures of dividends, earnings, output, and the replacement cost of measured capital have been above historical norms for the past 25-30 years. Will they return to...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015593823

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A macroeconomic perspective on stock market valuation ratios

Atkeson, Andrew; Heathcote, Jonathan; Perri, Fabrizio - 2026

Book / Working Paper

Do sell-side analysts’ recommendations consider business strategy in their evaluation? : what is the role of corporate governance?

Alazzani, Abdulsamad - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015668956

Wavelet-enhanced multimodel framework for stock market forecasting : a comprehensive analysis across market regimes

Okşak, Yüksel; Büyükkör, Yasin; Sarıtaş, Tufan - 2026

In this study, we develop a hybrid forecasting framework that integrates discrete wavelet transform with multiple machine and deep learning architectures to address nonlinearity and regime-dependent dynamics in financial markets. Log-return series using daily data from the BIST 100, S&P 500, and...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015664858

Industry-specific equity valuation practices : evidence from South African equity research reports

Moyo, Vusani; Kayiira, Joseph; Obadire, Ayodeji Michael - 2026

Valuation methodologies vary across industries because firms differ in capital intensity, asset life, earnings stability, and exposure to risk. This study examines the valuation approaches used by South African equity analysts across the diversified mining, platinum group metals mining, gold...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015676655

Equity valuation without DCF

Cho, Thummim; Polk, Christopher; Rogers, Robert - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016060053

State-dependent value of news sentiment in S&P 500 direction forecasting

Bajgai, Prabin; Zhou, Zhaoxian - 2026

Next-day S&P 500 direction forecasting matters for allocation, hedging, and risk management because broad-index movements transmit quickly across portfolios. Does structured news sentiment help predict next-day S&P 500 direction? We test four feature sets over 2008-2023 in an ablation sequence:...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016061364

On the predictability of ETF returns with technical predictors

Gong, Zihan; Müller, Sebastian - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016070960

Crimes against campbell-shiller

Ben-David, Itzhak; Chinco, Alex - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016071221

Accelerating ferry fleet renewal through green financing : the case of the Greek ferry network

Ziakas, Anastasios; Boile, Maria - 2026

Regulatory bodies have set ambitious goals regarding the decarbonization of maritime transport. The shipping industry, however, continues to face the dual challenge of sustaining profitability while renewing its fleet with new "greener" vessels. Despite the well-defined policy frameworks, there...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016070450

Spatial finance: practical and theoretical contributions to financial analysis

Caldecott, Ben; McCarten, Matthew; Christiaen, Christophe; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016079204

Simulating analyst forecast behavior using LLMs

An, Hyuk; Lee, Seohyun - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016085916

Assessing technical efficiency : effects on future profits and returns

Livnat, Joshua; Pei, Duo; Segal, Dan - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016086995

Do daily adaptive machine learning stock rankings survive trading costs? : evidence from cross-sectional technical signals

Kottas, Ferdinantos - 2026

This study examines whether daily machine learning stock rankings based on technical information contain out-of-sample ordering information and whether that information can be converted into economically implementable returns. Using a dynamically screened Nasdaq source universe from 2021 to...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016090641

Do supplier analysts react to customers' data asset information disclosure?

Yang, Rumeng; Wu, Delin - 2026

This study examines whether customers' data asset information disclosure improves suppliers' analysts forecast accuracy. Using data from Chinese firms between 2010 and 2024, this study uses text analysis to measure the degree of data asset information disclosure. The findings suggest that more...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016093298

Analyst logical inconsistency and stock price crash risk : evidence from large language models

Ma, Yingge; Zhang, Hu; Gao, Zihuan - 2026

This paper examines whether and how analyst logical inconsistency affects the stock price crash risk in China's A-share market. The sample includes 3784 listed non-financial companies. The final sample comprises 12,460 firm-year observations from 2016 to 2023. Specifically, we employ the open...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016098174

Enhancing Credit Risk Forecasting Using Time-Series Models and R Programming: A Comparative Analysis

Litvinenko, Alexey; Litvinenko, Anna; Saarinen, Samuli - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015605225

Stock trend forecasting with graph neural networks

Lu, Yao; Chen, Zhangxi - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654902

Investmentcontrolling in der Anlageverwaltung : rechtskonforme Prozesse bei der Performancemessung und Risikosteuerung

Lipkow, Andreas - 2026 - 1. Auflage

Die Finanzmärkte werden zunehmend komplexer, und gesetzliche Vorgaben stellen hohe Anforderungen an das Investmentbanking. Dieses Fachbuch bietet eine umfassende Orientierung in den zentralen Herausforderungen der Anlageverwaltung und zeigt praxisnahe Lösungen für eine rechtskonforme...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015555595

Corporate ESG performance and the capital market's information environment : evidence from analysts' forecasts

Chen, Wanyi; Xie, Zilin; Huang, Mengqi - 2025

The role of ESG is not confined to investments, but extends to the influence it exerts on capital markets. This study investigates the impact of corporate ESG performance on the information environment. Our results show that as companies demonstrate higher ESG performance, there is a significant...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015618498

Spillover effect of analysts' stock recommendations : the channel effect of firm industrial position

Ge, Jingwen; Kazmi, Syed Hassan Raza - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015591649

Coevolution of stock prices and their perceived fundamental value

Mignot, Sarah - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015593679

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Coevolution of stock prices and their perceived fundamental value

Mignot, Sarah - 2025

Book / Working Paper

A Smart optimization model for reliable signal detection in financial markets using ELM and blockchain technology

Kumar, Deepak; Pawar, Priyanka Pramod; Addula, Santosh Reddy - 2025

This study proposes a novel approach to improve the reliability of trading signals for gold market prediction by integrating technical analysis indicators, Moving Averages (MAs), MACD, and Ichimoku Cloud, with a Particle Swarm-Optimized Extreme Learning Machine (PSO-ELM). Traditional time-series...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015548924

The effect of analysts' reports on stock liquidity : the interaction of ratings and qualitative indicators

Wang, Gaoshan; Wang, Yue; Dong, Yilin; Shen, Xiaohong - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015626625

Do analysts underreact to pension underfunding? : evidence from forecast bias and funding ratios of DB plans in Korea

Noh, Jung Hee; Park, Heejin - 2025

This study aims to empirically investigate the relationship between the funding status of defined benefit (DB) pension plans and the forecast bias of financial analysts. While prior research has documented the impact of pension underfunding on firm performance, investment efficiency and firm...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015549110

ESG rating divergence and corporate disclosure strategies : evidence from performance forecasts

Long, Jia; Wang, Qiankun; Liu, Tingwen - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015638144

ESG rating disagreement, total factor productivity and enterprise sustainable development

Li, Meng; Tian, Zengrui; Lu, Yuzhong - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015644238

Explaining and predicting momentum performance shifts across time and sectors

Mamais, Konstantinos; Thomakos, Dimitrios D.; Vlamis, … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015374212

The cross-board spillover effect of innovation information : establishment of the Star Market and Main Board analyst forecasts

Jiang, Chengxin; Bin, Liu; He, Wenjing - 2025

Studies show that innovation information disclosed by listed firms affects the decision of non-listed firms and their stakeholders. This paper explores whether innovation information disclosed within a specific list board (i.e., market) also spills over to other list boards. Based on the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015374260