The foreclosure rate in the United States has experienced significant fluctuations over the past two decades, reaching its peak in 2010 at **** percent following the financial crisis. Since then, the rate has steadily declined, with a notable drop to **** percent in 2021 due to government interventions during the COVID-19 pandemic. In 2024, the rate stood slightly higher at **** percent but remained well below historical averages, indicating a relatively stable housing market. Impact of economic conditions on foreclosures The foreclosure rate is closely tied to broader economic trends and housing market conditions. During the aftermath of the 2008 financial crisis, the share of non-performing mortgage loans climbed significantly, with loans 90 to 180 days past due reaching *** percent. Since then, the share of seriously delinquent loans has dropped notably, demonstrating a substantial improvement in mortgage performance. Among other things, the improved mortgage performance has to do with changes in the mortgage approval process. Homebuyers are subject to much stricter lending standards, such as higher credit score requirements. These changes ensure that borrowers can meet their payment obligations and are at a lower risk of defaulting and losing their home. Challenges for potential homebuyers Despite the low foreclosure rates, potential homebuyers face significant challenges in the current market. Homebuyer sentiment worsened substantially in 2021 and remained low across all age groups through 2024, with the 45 to 64 age group expressing the most negative outlook. Factors contributing to this sentiment include high housing costs and various financial obligations. For instance, in 2023, ** percent of non-homeowners reported that student loan expenses hindered their ability to save for a down payment.

Home prices in the U.S. reach new heights The American housing market continues to show remarkable resilience, with the S&P/Case Shiller U.S. National Home Price Index reaching an all-time high of 331.69 in June 2025. This figure represents a significant increase from the index value of 166.23 recorded in January 2015, highlighting the substantial growth in home prices over the past decade. The S&P Case Shiller National Home Price Index is based on the prices of single-family homes and is the leading indicator of the American housing market and one of the indicators of the state of the broader economy. The S&P Case Shiller National Home Price Index series also includes S&P/Case Shiller 20-City Composite Home Price Index and S&P/Case Shiller 10-City Composite Home Price Index – measuring the home price changes in the major U.S. metropolitan areas, as well as twenty composite indices for the leading U.S. cities. Market fluctuations and recovery Despite the overall upward trend, the housing market has experienced some fluctuations in recent years. During the housing boom in 2021, the number of existing home sales reached the highest level since 2006. However, transaction volumes quickly plummeted, as the soaring interest rates and out-of-reach prices led to housing sentiment deteriorating. Factors influencing home prices Several factors have contributed to the rise in home prices, including a chronic supply shortage, the gradual decline in interest rates, and the spike in demand during the COVID-19 pandemic. During the subprime mortgage crisis (2007-2010), the construction of new homes declined dramatically. Although it has gradually increased since then, the number of new building permits, home starts, and completions are still shy from the levels before the crisis. With demand outweighing supply, competition for homes can be fierce, leading to bidding wars and soaring prices. The supply of existing homes is further constrained, as homeowners are less likely to sell and move homes due to the worsened lending conditions.

This information was complied from the Australian Bureau of Statistics in Partial fullfilment of Coursework for the Master of Data Science taught at UNSW

Household income and wealth Australia, Building Activity Australia, Affordable Housing Database, National and Regional House Price Indices, Population Projections, Lending Indicators

Household income and wealth Australia ->https://www.abs.gov.au/statistics/economy/finance/household-income-and-wealth-australia/latest-release, Affordable Housing Database ->http://www.oecd.org/social/affordable-housing-database.htm, National and Regional House Price Indices ->https://stats.oecd.org/Index.aspx?DataSetCode=RHPI_TARGET, Population Projections ->https://stats.oecd.org/Index.aspx?DataSetCode=POPPROJ, Lending Indicators ->https://www.abs.gov.au/statistics/economy/finance/lending-indicators/apr-2021

The home mortgage debt of households and nonprofit organizations amounted to approximately 13.46 trillion U.S. dollars in the first quarter of 2025. Mortgage debt has been growing steadily since 2014, when it was less than ten billion U.S. dollars and has increased at a faster rate since the beginning of the coronavirus pandemic due to the housing market boom. Home mortgage sector in the United States Home mortgage sector debt in the United States has been steadily growing in recent years and is beginning to come out of a period of great difficulty and problems presented to it by the economic crisis of 2008. For the previous generations in the United States, the real estate market was quite stable. Financial institutions were extending credit to millions of families and allowed them to achieve ownership of their own homes. The growth of the subprime mortgages and, which went some way to contributing to the record of the highest US homeownership rate since records began, meant that many families deemed to be not quite creditworthy were provided the opportunity to purchase homes. The rate of home mortgage sector debt rose in the United States as a direct result of the less stringent controls that resulted from the vetted and extended terms from which loans originated. There was a great deal more liquidity in the market, which allowed greater access to new mortgages. The practice of packaging mortgages into securities, and their subsequent sale into the secondary market as a way of shifting risk, was to be a major factor in the formation of the American housing bubble, one of the greatest contributing factors to the global financial meltdown of 2008.

Building affordable and council homes is a priority for the Mayor in tackling London's housing crisis and a key component of the London Housing Strategy. The GLA Housing team monitor a range of housing statistics produced by the Department for Levelling Up, Housing and Communities (DLUHC), and this spreadsheet contains a section from the Affordable Housing Open Data. This data has been used to measure the number of affordable and council homes built in London since 2016/17 and includes all affordable homes built, including those which did not receive funding from the GLA.

This dataset does not incorporate DLUHC data for 2021/22 or GLA data for 2022/23.

In March 2020, in the early days of the COVID-19 pandemic, many were concerned about the liquidity of nonbank mortgage servicers. As it turned out, the vast majority of these servicers did not face a liquidity crisis. In this Commentary I detail the reasons why, including lower than expected take up rates of forbearance, the role played by mortgage origination income, and the actions taken by the government-sponsored enterprises, Ginnie Mae, and housing agencies.

Corporate investment and other accounting, financial and corporate governance data for 95 Spanish listed companies.

The average price per square foot of floor space in new single-family housing in the United States decreased after the great financial crisis, followed by several years of stagnation. Since 2012, the price has continuously risen, hitting ****** U.S. dollars per square foot in 2024. In 2024, the average sales price of a new home exceeded ******* U.S. dollars. Development of house sales in the U.S. One of the reasons for rising property prices is the gradual growth of house sales between 2011 and 2020. This period was marked by the gradual recovery following the subprime mortgage crisis and a growing housing sentiment. Another significant factor for the housing demand was the growing number of new household formations each year. Despite this trend, housing transactions plummeted in 2021, amid soaring prices and borrowing costs. In 2021, the average construction cost for single-family housing rose by nearly ** percent year-on-year, and in 2022, the increase was even higher, at close to ** percent. Financing a house purchase Mortgage interest rates in the U.S. rose dramatically in 2022 and remained elevated until 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under ***** percent, whereas in 2024, the average rate for the same mortgage type was more than twice higher. That has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market.

Delinquency rates for credit cards picked up in 2025 in the United States, leading to the highest rates observed since 2008. This is according to a collection of one of the United States' federal banks across all commercial banks. The high delinquency rates were joined by the highest U.S. credit card charge-off rates since the Financial Crisis of 2008. Delinquency rates, or the share of credit card loans overdue a payment for more than 60 days, can sometimes lead into charge-off, or a writing off the loan, after about six to 12 months. These figures on the share of credit card balances that are overdue developed significantly between 2021 and 2025: Delinquencies were at their lowest point in 2021 but increased to one of their highest points by 2025. This is reflected in the growing credit card debt in the United States, which reached an all-time high in 2023. As of Q2 2025, the delinquency rate stands at 3.05%.

This Web App shows basic information about layers needed for managing data requests related to SB-330 for the unincorporated areas of Los Angeles County, and is called Housing-NET. This Web App shows the following information with hyperlinks to relevant documents:Last Updated April 2025 (Filter applied to Historic Resources layer - was previously showing community survey areas and 'ineligible for nomination' polygons)AboutThe Housing Crisis Act of 2019 is a bill (SB 330) that became effective on January 1, 2020. The bill provides eligible housing development projects streamlined application processing and vesting status when a Preliminary Application is filed. Vesting means a housing development project shall be subject only to the ordinances, policies, and standards adopted and in effect when a Preliminary Application, including all of the information required by Government Code Section 65941.1 is submitted in full. These map layers are provided to help in completing the Preliminary Application form for Los Angeles County Unincorporated Communities. UPDATE HISTORY04/01/2025 - Migrated to Experience BuilderLAYER BACKGROUND INFORMATION Affected Counties (California Department of Housing and Community Development) defined as a Census Designated Place that is wholly within the boundaries of an urbanized area). Based on HCD’s determination, 141 CDPs in 22 counties are identified as affected by the provisions of SB 330.Affected Counties (PDF) A very high fire hazard severity zone (As determined by the Department of Forestry and Fire Protection pursuant to Section 51178)Wetlands (As defined in the United States Fish and Wildlife Service Manual, Part 660 FW 2 (June 21, 1993)).A hazardous waste site (Listed pursuant to Section 65962.5 or a hazardous waste site designated by the Department of Toxic Substances Control pursuant to Section 25356 of the Health and Safety Code).FEMA Flood Zoned – 100 Year Flood [A special flood hazard area subject to inundation by the 1 percent annual chance flood (100-year flood) as determined by the Federal Emergency Management Agency in any official maps published by the Federal Emergency Management Agency].A delineated earthquake fault zone (As determined by the State Geologist in any official maps published by the State Geologist)A stream or other resource that may be subject to a stream bed alteration agreement (Pursuant to Chapter 6, commencing with Section 1600, of Division 2 of the Fish and Game Code)Known Historic and Cultural Resources (Resources listed in unincorporated LA County, California Office of Historic Preservation, National Register of Historic Places)Coastal ZoneLand Use General Plan: Land Use Policy as created by the Los Angeles County General Plan 2035, which provides the policy framework for how and where the unincorporated County will grow through the year 2035. For more information about the General Plan, please click here.Land Use Community/Area Plan: Land Use Policy as created by the various Area / Community / Coastal / Neighborhood Plans in the unincorporated County. For more information about the various plans, please click here. Zoning: For complete information, see Title 22 (Planning and Zoning) of the Los Angeles County Code.For projects in the Coastal Zone OnlyWetlands in the Coastal Zone (As defined in subdivision (b) of Section 13577 of Title 14 of the California Code of Regulations).Environmentally sensitive habitat areas (As defined in Section 30240 of the Public Resources Code).Tsunami run-up zone: Area modeled to be inundated by a tsunami.Additional LayersHousing Element (2021-2029) – Sites Inventory: This layer identifies parcels that are included in the Sites Inventory of the Revised County of Los Angeles Housing Element (2021-2029). The Sites Inventory is comprised of vacant and underutilized sites within unincorporated Los Angeles County that are zoned at appropriate densities and development standards to facilitate housing development during the 2021-2029 Housing Element planning period. For more information about the Sites Inventory and the site selection methodology, please see the Revised County of Los Angeles Housing Element (2021-2029).Housing Element (2021-2029) – Rezoning: This layer identifies parcels that are included in the Rezoning Program of the Revised County of Los Angeles Housing Element (2021-2029). Unincorporated Los Angeles County has an assigned Regional Housing Needs Allocation (RHNA) of 90,052 units for the 2021-2029 Housing Element planning period. For more information about the Rezoning Program and the site selection methodology, please see the Revised County of Los Angeles Housing Element (2021-2029).

The Private Rented Sector has grown considerably over the last 25 years and is now a crucial part of the UK's housing mix. The sector provides easily accessible accommodation for young, mobile, transient populations, but is increasingly being used to provide long term accommodation for vulnerable groups who in earlier times might have been able to access local authority or housing association accommodation. An online survey was selected as the principal data collection tool for the research. The resulting raw data has been attached as an SPSS Statistics Data Document.

The Private Rented Sector has grown considerably over the last 25 years and is now a crucial part of the UK's housing mix. The sector provides easily accessible accommodation for young, mobile, transient populations, but is increasingly being used to provide long term accommodation for vulnerable groups who in earlier times might have been able to access local authority or housing association accommodation.

With the arrival of the pandemic, the Scottish Government made a series of temporary changes to the legislation that governs the tenant eviction process. These changes have been made over concerns that Covid-19 would result in an increase in evictions resulting in tenants being made homeless and support services being overwhelmed. The changes include extensions to notice periods (up to 6 months) for certain grounds, the introduction of 'Pre-action requirements', and the re-classification of all grounds as discretionary. Importantly the changes also include a ban on evictions (technically a ban on the enforcement of evictions) due to tenant non-payment.

Whilst these changes are believed to have safeguarded tenants and support services in the short term, they have not addressed the underlying problems, and unprecedented levels of rent arrears have accumulated for private landlords. Every additional month of arrears increases tenant debt levels and further reduces landlord income. In many cases landlords rely on this income to support their living expenses or service a mortgage. The changes are only temporary and there is great concern as to what will happen when the legislation expires. Some believe that there will be no markable increase in the number of evictions, others belief that there will be a significant increase leading to many tenants being made homeless. While the truth is likely to be somewhere in between, policy makers, service providers and charities urgently need a more detailed understanding of what is likely to happen, to allow them to create policies that minimise the impacts of the ban when it comes to an end. To obtain this understanding we need to identify the extent of the problem as it stands, specifically, how many landlords have arrears and how large are the arrears? We also need to gain insights into how landlords are currently dealing with arrears, to identify how familiar landlords are with the temporary changes in legislation, and to ascertain whether the support currently available, such a loan schemes, is fit for purpose. Insight into the resilience of landlords and identification of the tipping points that may result in an increase in evictions is also necessary, as is the identification of landlord intentions following expiry of the legislation.

Unfortunately, we do not currently know the answers to these questions. In fact, we know very little about the behaviours or intentions of landlords in general. This research therefore aims to answer these questions by undertaking primary research with the support of landlords.

The research will take the form of a quantitatively focused online questionnaire, which will be issued to a large population of Scottish Private Rented Sector (SPRS) landlords via our project partner SafeDeposits Scotland. The responses from the survey will be analysed and findings generated. The findings will then be shared directly with Government, Parliament, Service Providers and Third Sector organisations. To maximise impact and reach, the findings will be also be made available through blog and twitter feeds.

The entire research process from survey design to the dissemination of the findings will take just 4 months. This accelerated program is required to allow those receiving the data sufficient time to digest the findings and generate appropriate policies in response.

As a result of the coronavirus (COVID-19) crisis, many people worldwide faced job insecurity and income disruption. For mortgage borrowers in the United States, this means increased risk of delayed loan repayment, default and foreclosure.

In April 2020, the share of single-family housing mortgages owned by Freddie Mac that were in forbearance and delinquent for ** days spiked to ** percent. One year later, as of April 2021, approximately ** percent of the mortgage loans in forbearance were delinquent for over *** days.

Average House Prices in Canada increased to 688800 CAD in October from 687600 CAD in September of 2025. This dataset includes a chart with historical data for Canada Average House Prices.

This dataset contains de-identified transcripts of interviews conducted in Unalakleet, Alaska in from May to August 2021. It does not contain identifiable information of participants. The dataset contains information on personal housing challenges, community housing concerns, preferences for future housing design and construction and climate change impacts. This dataset provides Alaska Native community perspectives regarding housing challenges and solutions using a community-based participatory research approach.

The objective of this study is to explore the impact of working capital management on firms’ financial performance in China’s agri-food sector from 2006 to 2021. In addition, we analyze whether this impact is the same during the 2008 financial crisis and the 2020 COVID-19 crisis. Working capital management is measured by working capital investment policy (measured by current assets to total assets ratio), working capital financing policy (measured by current liabilities to total assets ratio), cash conversion cycle, and net working capital ratio. The results reveal that current assets to total assets ratio and net working capital ratio positively influence financial performance measured through return on assets (ROA), while current liabilities to total assets ratio and cash conversion cycle negatively influence ROA. We also find that the relationship between working capital management and financial performance is more affected during COVID-19 than in the 2008 financial crisis. The findings might provide important implications for company managers to make optimal working capital management practices, depending on the economic environment.

This study aims to investigate the temporal and spatial attributes of the exit of Taiwanese enterprises from mainland China between 2001 and 2021, by applying enterprise database data. Furthermore, the influence of strategic coupling on Taiwanese enterprises’ exit from mainland China was also investigated. The following are the key findings: The spatial distribution pattern of the exit rate of Taiwanese enterprises in mainland China varied at different phases. In contrast, the inland regions of the country’s central and western zones, which are characterized by comparatively less developed economies, maintained consistently high exit rates, whereas the eastern coastal region retained a low exit rate. Particularly, the relationship between Taiwanese enterprises and the invested areas changed from Captive coupling to Cooperative coupling and subsequently to Absorptive Coupling. Similarly, the coupling modes significantly influenced the exit of Taiwanese enterprises from mainland China. Moreover, the COVID-19 pandemic has contributed to the backward connection of Taiwanese corporations, which have become more reliant on the mainland China market and local suppliers than earlier. Taiwan-favoring policies and the regional innovation environment have consequently emerged as the primary locational advantages for retaining Taiwanese enterprises in the aftermath of the global financial crisis. Therefore, the aforementioned factors may help to reduce the Taiwanese enterprises’ exit from mainland China and possess valuable policy implications for Taiwan investment zones in mainland China.

This research draws on interview-based research that took place between May and June 2021 to capture the experience of staff and volunteers at a London food co-op that set up a shopping service for vulnerable people at the beginning of the COVID-19 pandemic. As well as reflecting on the food co-op, what it is and their relationship to it, participants discuss the foundation of the shopping (shop and drop) service and their relationship to it. They also explore broader topics such as the wider impacts of COVID-19 on their own lives and life in the UK, their opinion on the governmental response to COVID-19, and their understanding of concepts such as mutual aid, cooperation and community, which became so prevalent during the pandemic.

The financial crisis of 2008 and resultant period of austerity have had a significant impact on the nature of politics, the economy and the lives of everyday citizens in Britain. These political-economic shifts have informed and adjusted the ideals, practices and structures of community organising, raising questions about the nature of citizenship, grassroots political action and the structures of society in Britain today. The COVID-19 pandemic is further highlighting issues of inequality, while catalysing more community organising and network building. In the wake of Brexit, tensions around issues such as welfare, immigration and identity have also become increasingly polarising. This research takes an ethnographic approach to experiences of social and political-economic change, community-building and collective organising to offer a nuanced representation of life in contemporary Britain and the impacts of increasingly neoliberal policies on food and housing.

Despite the fact that Britain is one of the richest countries in the world, more than 8 million people are suffering from food insecurity today (Lambie-Mumford 2017). Where food has historically been one of the biggest income expenditures, it now averages just 10-16% for the lowest income households in the UK (DEFRA 2017). The fact that many people in Britain are unable to afford to eat despite this reduction, highlights one of the stark realities of life in Britain. The country is also undergoing a severe housing crisis, which is felt most acutely in cities such as London (Minton 2017). While housing used to be more affordable than food, by the 1990s this had become the main cost for the average household (Hickman 2008; Cribb et al. 2012). This raises questions about how the social and financial value of food and housing and the levels of urgency attached to each impact on how people mobilise and organise around them today, whether as activists or humanitarians; and what structures, practices and ideologies they draw on.

As part of my doctoral work I conducted two years of ethnographic research with grassroots, retail food co-ops in London. This focused on practices of politics, aid and care in the face of austerity and the growing humanitarian crisis around food. The Politics of Food and Housing in Changing Times aims to consolidate and disseminate my PhD findings, and draw out the issues around housing which were already present in the thesis. In order to further my understanding of housing issues and the forms of collective organising used in relation to them, I will build on my established networks and contacts in London to do two months of fieldwork with housing activists. I will develop a research funding proposal from this work which makes a theoretical contribution to the social sciences on food, housing, political economy, and creates impact for the groups involved. In addition to the production of this new research and proposal, key outputs for the fellowship will include: A monograph based on the PhD thesis that engages with public and social scientific debates on austerity, food and activism, therefore appealing to both academics and practitioners. Three research participant workshops for people and organisations that contributed to my doctoral work. A practitioner workshop on food access and sustainability. I will also present at two international conferences. The fellowship activities are designed to build on each other, benefitting my career progression, while also creating pathways to impact. Drawing on my existing networks in London, the South West and mainland Europe, they will engage academics and practitioners across a range of disciplinary and professional backgrounds to share experiences and findings and develop tools in relation to the politics of food and housing, sustainability, poverty alleviation, community-building and social cohesion; and to build on local and international networks in order to share resources and findings.

This dataset contains de-identified data collected during the energy assessments conducted in Unalakleet, Alaska in from May to August 2021. It does not contain identifiable information of participants. The datasets are divided by type of housing characteristics analyzed. contains information on personal housing challenges, community housing concerns, preferences for future housing design and construction and climate change impacts. This dataset provides Alaska Native community perspectives regarding housing challenges and solutions using a community-based participatory research approach.

This study initiated an exploration into how community members, specialists in housing issues, and social scientists might collaborate to address homelessness in Alaska. Through interviews and participant observation of planning meetings and related activities, the researchers are gathering insights from design experts, community organizers, and experts working on urban-rural homelessness in Alaska. This includes gathering information about cold weather design processes and issues facing urban-rural homelessness in Alaska, as well as the identification of possible research questions that can inform the development of a grant application for a multi-year research study. The study includes in-person as well as virtual research activities. Because of geographic distances, the majority of initial research activities were conducted virtually, but in-person field site visits began to take place June 15, 2021, and subsequent trips have taken place from August 2021-onward. These research trips involve site visits, participation in meetings, and in-person interviews when possible. Phase 1: 24 initial interviews were conducted with a range of stakeholders about housing insecurity in Alaska and the impacts of the COVID-19 pandemic. Includes interviewees from remote villages, from the Association of Alaskan Housing Authorities (AAHA), homeless advocates, designers, social scientists, engineers, and builders. Topics included myths about homelessness, homeless versus houseless terminology, research organizations, policies, impacts of pandemic, housing needs, and contrasting strategies. Analysis and synthesis with subsequent data is ongoing. 01: policy 02: interview with researcher 03: homelessness - Anchorage - rural communities - data sharing 04: design in rural communities 05: housing shortages in rural communities 06: technical issues in housing - collaborating with rural communities 07: homeless community in Fairbanks 08: history of Cold Climate Housing Research Center 09: design - homelessness - Anchorage 10: homelessness - rural/hub/urban - need for housing design repository 11: homelessness - Nome - Savoonga - designers need to visit villages 12: reverse interview - designer interviews researchers 13: homelessness - Anchorage - Bethel - housing costs 14: homelessness - rural/hub/urban spectrum - subsistence - houseless term 15: homelessness data and Bethel - impacts of pandemic - myths 16: homelessness data and Bethel - impacts of pandemic 17: ISERC (Integrated Security Education and Research Center) research 18: homelessness data and Bethel - CARES Act 19: homelessness data (gaps) and Bethel - CARES Act 20: homelessness data and Bethel 21: designer - public awareness and museum exhibits 22: veterans and community organizer 23: AAHA staff member 24: homelessness - Fairbanks - pandemic impacts on rescue missions Phase 2: 49 additional interviews were conducted with support from NSF funding (NSF 2103356: RAPID: COVID-19, Remote Ethnography, and the Rural Alaskan Housing Crisis). A meta-data description of the participants and topics are attached ('RAPID_interview_list_Descriptions').

Context

This dataset contains around 41 500 french news from 11/2018 to 03/2021 scraped on a famous financial media website. For ease of use I’v add English translation (Helsinki-NLP/opus-mt-fr-en) and sentiment analysis (VADER)

Analysis

The picture below show the effect of covid crisis on news sentiment (Purple) and CAC40 (Blue). We see clearly a link between the news sentiment and the stocks market (Note : March 2020: The covid crisis break down / November 2020: Release of the pfizer vaccine) https://i.ibb.co/nLFdSHL/news-sentiment-vs-cac40.png" alt="">

CAC 40 next day open prediction (Works a little bit ) https://i.ibb.co/ZdhXVHy/CAC40-next-day-open-prediction.png" alt="">

CAC 40 next 20 day prediction (Multi-day prediction gets imprecise results...) https://i.ibb.co/Mgdzvzs/CAC40-next-20-day-prediction.png" alt="">

Compare the sentiment of news title, text and text in the URL. We can conclude that titles are often more dramatic to attract attention. https://i.ibb.co/K7nSkgd/news-sentiment-title-vs-summay-vs-text-in-URL.png" alt="">

-> See linked notebook.

Content

-> FrenchNews.csv This dataset contains around 41 500 french news from 11/2018 to 03/2021 scraped on a famous financial media website.

-> FrenchNewsDayConcat.csv The dataset FrenchNews.csv with post process to sample it at day and compare with CAC40.

The number of news per day varies form day to day (see FrenchNewsDayConcat.csv param NbrNewsJour). The amount of news increase with the time. https://i.ibb.co/xmBVDDR/nbr-of-news-per-day.png" alt="">

Inspiration

Could we use directly the text of the news scraped to make CAC40 prediction (NLP)? Use of the news text to find the main stream subject of news during the time.

Feel free to play with the dataset