Yahoo.com was the most-visited finance-related website worldwide, with an average of 4.9 billion visits per month during the period between April 2022 and January 2024. Paypal.com was ranked second with 786.8 million monthly visits, while Caixa.gov.br was ranked third, with 292.87 million average accesses, being the leading domain among the world's most-visited banking websites.

In March 2024, chase.com was the leading financial service website in the United States. During the measured period, the digital payments platform accounted for over 4.46 percent of desktop traffic in the finance subcategory. Intuit.com was ranked second with a 3.61 percent market share.

As of February 2024, approximately 25.2 percent of financial service website users in the United States were aged between 25 and 34 years. Users aged between 45 and 54 years represented over 15 percent of the U.S. online audience share.

Dataset

This dataset was created by Nevil Dsouza

Contents

In April 2022, Paypal.com was the most popular financial service company in the United States with monthly web traffic of over 754 million visits. Capitalone.com was ranked secons with 130 million monthly visits. Apart from the major banks, investing and trading services are also popular with consumers.

The mission of the Office of the Chief Financial Officer is to assure the effective management and financial integrity of Department of Energy programs, activities, and resources by developing and implementing and monitoring Department-wide policies and systems in the areas of budget administration, program analysis and evaluation, finance and accounting, internal controls, corporate financial systems, and strategic planning.

Enterprise Financial Management Software Market size was valued at USD 9.33 Billion in 2024 and is projected to reach USD 26.25 Billion by 2031, growing at a CAGR of 13.80% from 2024 to 2031.

Enterprise Financial Management Software Market Drivers

Digital Transformation Initiatives: Organizations across various sectors are increasingly adopting digital solutions to streamline operations. Enterprise Financial Management Software plays a crucial role in automating financial processes, improving accuracy, and enhancing decision-making, thereby driving market demand.

Growing Need for Real-Time Financial Data: As businesses become more data-driven, the demand for real-time financial insights is rising. Enterprise Financial Management Software enables companies to access up-to-date financial information, facilitating quicker and more informed decision-making, which is a significant market driver.

Regulatory Compliance and Risk Management: The increasing complexity of financial regulations and the need for robust risk management solutions are pushing companies to adopt sophisticated financial management software. These tools help organizations comply with regulations, mitigate risks, and avoid costly penalties, thus boosting market growth.

The website of the OP Financial Group with its domain op.fi was the most visited for financial services and information in Finland in April 2023, accounting for about 17.04 percent of desktop visits. The commerce-oriented newspaper kauppalehti.fi ranked third with 7.19 percent of traffic in this category.

Financial Research Software Market size was valued at USD 1.23 Billion in 2024 and is projected to reach USD 1.82 Billion by 2031, growing at a CAGR of 3.5% during the forecast period 2024-2031.

Global Financial Research Software Market Drivers

Growing Demand for Data Analytics: Increasing demand for data-driven insights and analytics in the financial sector drives the adoption of financial research software to analyze market trends, investment opportunities, risk factors, and financial performance metrics.

Technological Advancements: Ongoing advancements in financial research software, including artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and big data analytics, enhance data processing capabilities, improve accuracy, and enable predictive modeling for investment decision-making.

Regulatory Compliance Requirements: Stringent regulatory requirements and compliance standards in the financial industry drive the adoption of financial research software to ensure regulatory compliance, risk management, and transparency in reporting and disclosure practices.

Investment Management and Portfolio Optimization: Financial research software enables investment professionals, portfolio managers, and asset allocators to conduct comprehensive research, perform quantitative analysis, and optimize investment portfolios to maximize returns and mitigate risks.

Rise of Robo-Advisors and Fintech Solutions: The rise of robo-advisors, digital wealth management platforms, and fintech solutions drives demand for financial research software with automated investment algorithms, portfolio rebalancing tools, and personalized financial advice for retail investors and wealth management clients.

Globalization and Market Integration: Globalization of financial markets and increased market integration drive the need for financial research software that provides real-time market data, news feeds, and economic indicators to support informed decision-making in a dynamic and interconnected marketplace.

Shift Towards ESG Investing: The growing focus on environmental, social, and governance (ESG) factors in investment decision-making drives demand for financial research software with ESG data integration, sustainability metrics, and impact analysis tools to support responsible investing strategies.

Risk Management and Stress Testing: Financial research software enables financial institutions and investment firms to conduct risk assessments, scenario analysis, and stress testing to evaluate portfolio resilience, liquidity risk, credit risk, and market volatility in various market conditions.

Alternative Data Sources and Quantitative Analysis: Financial research software integrates alternative data sources, such as social media sentiment, satellite imagery, and consumer behavior data, into quantitative models and analytical frameworks to gain insights into market trends and investment opportunities.

Demand for Customization and Integration: Financial institutions and investment professionals seek customizable financial research software solutions that can be tailored to their specific needs, integrated with existing systems and workflows, and scalable to accommodate future growth and expansion.

This dataset is about stocks and is filtered where the company is LPL Financial, featuring 8 columns including company, currency, exchange, exchange symbol, and stock. The preview is ordered by stock (ascending).

please cite this dataset by :

Nicolas Turenne, Ziwei Chen, Guitao Fan, Jianlong Li, Yiwen Li, Siyuan Wang, Jiaqi Zhou (2021) Mining an English-Chinese parallel Corpus of Financial News, BNU HKBU UIC, technical report

The dataset comes from Financial Times news website (https://www.ft.com/)

news are written in both languages Chinese and English.

FTIE.zip contains all documents in a file individually

FT-en-zh.rar contains all documents in one file

Below is a sample document in the dataset defined by these fields and syntax :

id;time;english_title;chinese_title;integer;english_body;chinese_body

1021892;2008-09-10T00:00:00Z;FLAW IN TWIN TOWERS REVEALED;科学家发现纽约双子塔倒塌的根本原因;1;Scientists have discovered the fundamental reason the Twin Towers collapsed on September 11 2001. The steel used in the buildings softened fatally at 500?C – far below its melting point – as a result of a magnetic change in the metal. @ The finding, announced at the BA Festival of Science in Liverpool yesterday, should lead to a new generation of steels capable of retaining strength at much higher temperatures.;科学家发现了纽约世贸双子大厦(Twin Towers)在2001年9月11日倒塌的根本原因。由于磁性变化,大厦使用的钢在500摄氏度——远远低于其熔点——时变软,从而产生致命后果。 @ 这一发现在昨日利物浦举行的BA科学节(BA Festival of Science)上公布。这应会推动能够在更高温度下保持强度的新一代钢铁的问世。

The dataset contains 60,473 bilingual documents.

Time range is from 2007 and 2020.

This dataset has been used for parallel bilingual news mining in Finance domain.

The number of fraudulent websites of banks performing unlicensed activity in Russia exceeded 156 in 2023. Furthermore, about 3.5 thousand fraudulent websites of non-financial organizations or of those pretending to be actually existing financial businesses were identified during that period.

This is a list of the Department of Consumer Affairs, Office of Financial Empowerment Financial Empowerment Centers includes information on the provider, host site, address, hours of operations, languages spoken on-site, and more specific data about the location.

This dataset is about stocks and is filtered where the company is Wonderful Sky Financial Group, featuring 8 columns including company, currency, exchange, exchange symbol, and stock. The preview is ordered by stock (ascending).

BVC on 31 December 2021, which totalled 178 companies. The study sample comprised 68 active companies with market capitalisation at the time of the study. A total of 71 information variables were used to evaluate the companies' internet reports, which were categorised into five groups.

This dataset is about stocks and is filtered where the company is Mebuki Financial Group, featuring 8 columns including company, currency, exchange, exchange symbol, and stock. The preview is ordered by stock (ascending).

Abstract

The fourth edition of the Global Findex offers a lens into how people accessed and used financial services during the COVID-19 pandemic, when mobility restrictions and health policies drove increased demand for digital services of all kinds.

The Global Findex is the world’s most comprehensive database on financial inclusion. It is also the only global demand-side data source allowing for global and regional cross-country analysis to provide a rigorous and multidimensional picture of how adults save, borrow, make payments, and manage financial risks. Global Findex 2021 data were collected from national representative surveys of almost 145,000 people in 139 economies, representing 97 percent of the world’s population. The latest edition follows the 2011, 2014, and 2017 editions, and it includes a number of new series measuring financial health and resilience and contains more granular data on digital payment adoption, including merchant and government payments.

The Global Findex is an indispensable resource for financial service practitioners, policy makers, researchers, and development professionals.

Geographic coverage

National coverage

Kind of data

Observation data/ratings [obs]

Sampling procedure

In most developing economies, Global Findex data have traditionally been collected through face-to-face interviews. Surveys are conducted face-to-face in economies where telephone coverage represents less than 80 percent of the population or where in-person surveying is the customary methodology. However, because of ongoing COVID-19–related mobility restrictions, face-to-face interviewing was not possible in some of these economies in 2021. Phone-based surveys were therefore conducted in 67 economies that had been surveyed face-to-face in 2017. These 67 economies were selected for inclusion based on population size, phone penetration rate, COVID-19 infection rates, and the feasibility of executing phone-based methods where Gallup would otherwise conduct face-to-face data collection, while complying with all government-issued guidance throughout the interviewing process. Gallup takes both mobile phone and landline ownership into consideration. According to Gallup World Poll 2019 data, when face-to-face surveys were last carried out in these economies, at least 80 percent of adults in almost all of them reported mobile phone ownership. All samples are probability-based and nationally representative of the resident adult population. Additionally, phone surveys were not a viable option in 16 economies in 2021, which were then surveyed in 2022.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households. Each eligible household member is listed, and the hand-held survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer's gender.

In traditionally phone-based economies, respondent selection follows the same procedure as in previous years, using random digit dialing or a nationally representative list of phone numbers. In most economies where mobile phone and landline penetration is high, a dual sampling frame is used.

The same respondent selection procedure is applied to the new phone-based economies. Dual frame (landline and mobile phone) random digital dialing is used where landline presence and use are 20 percent or higher based on historical Gallup estimates. Mobile phone random digital dialing is used in economies with limited to no landline presence (less than 20 percent).

For landline respondents in economies where mobile phone or landline penetration is 80 percent or higher, random selection of respondents is achieved by using either the latest birthday or household enumeration method. For mobile phone respondents in these economies or in economies where mobile phone or landline penetration is less than 80 percent, no further selection is performed. At least three attempts are made to reach a person in each household, spread over different days and times of day.

Sample size for Eswatini is 1000.

Mode of data collection

Face-to-face [f2f]

Research instrument

Questionnaires are available on the website.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar. 2022. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of COVID-19. Washington, DC: World Bank.

Personal financial activities carried out via a website or application in the last 3 months by demographic characteristics and type of action. National.

This statistic illustrates the average time spent per person per month on online finance websites in the European Union (five countries) as of March 2018. In France, the average time spent per person per month on banking websites amounted to 52 minutes, whereas French citizens only spend on average two minutes per month on tax related sites. Individuals from the United Kingdom (UK) spent the most time on average on online trading sites at 34 minutes per person per month.

This dataset is about stocks and is filtered where the company is Bread Financial, featuring 8 columns including company, currency, exchange, exchange symbol, and stock. The preview is ordered by stock (ascending).