This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

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Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

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According to Cognitive Market Research, The Global Process Safety Services market size was USD 16.8 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 10.80% from 2023 to 2030. What are the Most Significant Opportunities and Factors Influencing the Process Safety Services Market?

Rising of Industrial Accidents Drives the Market Expansion

The increasing incidence of big and minor industrial accidents has heightened awareness about the necessity of process safety. Companies are investing in safety measures to avoid accidents, save downtime, and maintain a favorable public image because contemporary enterprises are more concerned with delivering maximum outcomes and manufacturing efficiency than with producing safely; the frequency of accidents and catastrophic incidents has grown over time. Several variables, each dependent on the context, commonly cause accidents.

For instance, according to data from BBC News, industrial accidents kill hundreds of individuals yearly and severely handicap thousands more. In 2021, a federal minister told parliament that over the previous five years, at least 6,500 employees had died while working in factories, ports, mines, and construction sites. Labor campaigners with years of experience in the sector told the BBC that the statistics may be higher because many events are not reported or documented.

(Source:www.bbc.com/news/world-asia-india-62631699)

Because Europe is a highly industrialized region that might be used as a case study to illustrate global industrialization, the statistics could imply a global trend in industrial accidents. Nonetheless, as workplace mishaps increase, the demand for a medium to reduce accidents grows more pressing. The respective factors will drive the process safety market.

Improving Factory Management and Product Efficiency is Becoming Increasingly Important

Process safety services help manage the integrity of hazardous material handling operational systems and processes. It can aid in detecting, comprehending, managing, and preventing process-related problems. If an event happens during the production process, it can have a negative impact on the manufacturing process and product efficiency. In an accident, the product may leak or be damaged. However, by implementing process safety solutions, product loss may be reduced, and industrial efficiency can be increased, leading to rapid growth in the process safety services market.

According to a Manufacturing Institute report, one of the Biggest Causes of supply chain disruptions is insufficient production planning, which leads to increased costs and delayed delivery. 74% of firms reported at least one supply chain interruption the previous year, with 39% directly attributing it to inadequate production planning.

(Source:www.deskera.com/blog/effective-production-planning-manufacturing/)

The Factors Are Limiting the Growth Of The Web Hosting Services Market

Budget allocations and a lack of competent labor Limit Market Growth

Among the key market restrictions are inadequate budget allocation mechanisms and a lack of competent labor. Labor skills are critical in guaranteeing the safety of any industrial process, regardless of its risks. As a result, a lack of trained labor may increase the number of accidents. Furthermore, small and medium-sized organizations' budgets for critical safety do not contain expenditures for precise and fast incident monitoring. As a result, the budget scope may not be able to handle information security, technology, and workplace health properly, resulting in competing goals and a lack of collaboration. As a result, there is a scarcity of experienced labor and a lack of budget allocation for safety process management in small to medium-sized businesses.

Impact of COVID-19 on the Process Safety Services Market

Most sectors throughout the world have been badly impacted in recent months. This is due to major interruptions in their separate manufacturing and supply-chain activities caused by different precautionary lockdowns and other limitations imposed by regulatory bodies throughout the world. Furthermore, consumer demand has reduced as individuals are now more focused on minimizing non-essential expenses from their separate budgets since the general economic state of most people has been negatively impacted by this pandemic.

The COVID-19 pandemic and global...

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Using all stocks listed in the Tokyo Stock Exchange and macroeconomic data for Japan, the dataset comprises the following series:

1. Japan_25_Portfolios_MV_PTBV: Monthly returns for 25 size-book-to-market equity portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
2. Japan_25_Portfolios_MV_PE: Monthly returns for 25 size-PE portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
3. Japan_50_Portfolios_SECTOR: Monthly returns for 50 industry portfolios. (Raw data source: Datastream database)
4. Japan_3 Factors: Fama and French three-factors (RM, SMB and HML), following the Fama and French (1993) methodology. (Raw data source: Datastream database)
5. Japan_5 Factors: Fama and French five-factors (RM, SMB, HML, RMW, and CMA), following the Fama and French (2015) methodology. (Raw data source: Datastream database)
6. Japan_NUCLEAR_Y: Instrument in years with a value of 1 when a nuclear disaster has occurred somewhere in the world and 0 otherwise. (Raw data source: Bloomberg and BBC News)
7. Japan_NUCLEAR_M: Instrument in months with a value of 1 when a nuclear disaster has occurred somewhere in the world and 0 otherwise. (Raw data source: Bloomberg and BBC News)
8. Japan_RF_M: Three-month interest rate of the Treasury Bill for Japan. (Raw data source: OECD)
9. Company data: Names and general data of the companies that constitute the sample. (Raw data source: Datastream database)
10. Number of stocks in portfolios: Number of stocks included each year in Japan_25_Portfolios_MV_PTBV, Japan_25_Portfolios_MV_PE and Japan_50_Portfolios_SECTOR. (Raw data source: Datastream database)

We have produced all return series using the following data from Datastream: (i) total return index (RI series), (ii) market value (MV series), (iii) market-to-book equity (PTBV series), (iv) total assets (WC02999 series), (v) return on equity (WC08301 series), (vi) price-to-earnings ratio (PE series), and (vii) industry (SECTOR series). We have used the generic rules suggested by Griffin, Kelly, & Nardari (2010) for excluding non-common equity securities from Datastream data. We also exclude stocks with less than twelve observations. Accordingly, our sample comprises a total number of 5,212 stocks.

REFERENCES:

Fama, E. F. and French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33, 3–56. Fama, E. F. and French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116, 1–22. Griffin, J. M., Kelly, P., and Nardari, F. (2010). Do market efficiency measures yield correct inferences? A comparison of developed and emerging markets. Review of Financial Studies, 23, 3225–3277.

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As of July 2025, the BBC, ITV, and Sky were the top three leading TV broadcasters in the United Kingdom (UK). In this regard, the BBC held an audience share of about ** percent. ITV and Sky had audience shares of over ** and ten percent, respectively. BBC One viewing BBC One was the most popular TV channel in the UK in 2024/2025, with about ** percent of the population using the service at least once a week. The audience spent on average ***** hours weekly watching the BBC’s leading channel.   BBC finances The BBC relies on the television license as its main means of funding. In 2025, the BBC generated *** million British pounds in revenue, most of which was attributed to the license fees paid by UK households. That same year, BBC One accounted for most of the BBC’s television programming spend, with costs exceeding *** billion British pounds.

Index Time Series for Virtus LifeSci Biotech Clinical Trials ETF. The frequency of the observation is daily. Moving average series are also typically included. Under normal market conditions, the fund will invest not less than 80% of its assets in component securities of the index. The index seeks to track the performance of the common stock of U.S. exchange-listed biotechnology companies with a primary product offering (lead drug) that is typically in a Phase 1, Phase 2 or Phase 3 clinical trial stage of development, but prior to receiving marketing approval.

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The Free-to-air (FTA) television service market, currently valued at $377.2 million in 2025, is projected to experience robust growth, driven by increasing accessibility of digital platforms and the continued demand for free, readily available entertainment. The 6.6% CAGR signifies a consistent upward trajectory, indicating sustained market appeal. Key drivers include the expanding availability of FTA channels via digital terrestrial television (DTT) and satellite broadcasting, particularly in developing economies where subscription-based services remain less accessible. Technological advancements, like improved signal compression and increased bandwidth availability, are further fueling this growth. However, the market faces challenges from the rise of streaming services offering on-demand content and the increasing competition from low-cost subscription models. This competition necessitates FTA providers to continuously innovate and improve their content offerings, focusing on attracting and retaining viewers through high-quality programming and strategic partnerships. The dominance of established players like BBC, BT, Deutsche Telekom, and others, underscores the importance of brand recognition and established distribution networks. Furthermore, regulatory frameworks impacting broadcasting licenses and spectrum allocation influence market dynamics and growth potential. Regional variations in penetration rates and consumer preferences will shape the overall market landscape and the strategies employed by service providers. Future growth will heavily depend on adapting to the changing media consumption habits and integrating innovative technologies to enhance the viewer experience. The market segmentation, while not explicitly detailed, likely includes variations based on broadcasting technology (DTT, satellite), content genre (news, entertainment, sports), and geographic region. While precise regional breakdowns are unavailable, it's reasonable to assume significant variations exist, with developed markets potentially showing slower growth rates compared to developing economies where FTA penetration is still expanding. The forecast period of 2025-2033 provides ample opportunity for the market to mature and adapt to the evolving technological and consumer landscapes. Strategic alliances, content diversification, and effective marketing strategies will be critical for FTA providers to maintain their relevance and market share in the face of intensified competition.

Following the switch to digital TV, the TV programming industry now has thousands of channels and is dominated by subscription packages. TV broadcasters have benefitted from the lower cost of operating channels online, though streaming services have intensified competition. The spread of channels across multiple platforms has offset a drop in ad spending on TV in the UK, which has weighed on the industry's revenue. With the proliferation of streaming services like Netflix, Disney+ and Amazon Prime Video, traditional broadcasters are feeling the heat. However, live TV and bundling TV with other services, like broadband, have supported subscription revenue. Revenue is projected to have fallen at a compound annual rate of 1.8% over the five years through 2025-26 to £10.7 billion. This is because the industry relies on linear advertising revenue and broadcast TV viewership, which have both taken a nosedive. Though major sports events have boosted the number of TV advertising slots, revenue is set to drop by 1.9% in 2025-26. More consumers are turning to streaming platforms for news and entertainment instead of traditional TV broadcasts. Even older viewers, once the bastion of traditional TV, are shifting towards streaming services, signalling an urgent need for broadcasters to innovate or risk fading into obscurity. Intense competition from streaming platforms has weighed on ad spending and dented profit over the five years through 2025-26. Over the five years through 2030-31, revenue is forecast to dip at a compound annual rate of 1.5% to £9.9 billion. Revenue growth from subscription services and a jump in the TV Licence fee will boost sales for now. However, with the planned abolition of the fee in 2027, public-funded broadcasters like the BBC will need to find alternative funding sources, introducing uncertainty into their future outlook. Second-screen engagement and internet-connected smart TVs will alter viewing experiences in the coming years, with advanced TV programmes and broadcasting technologies likely to emerge following the trend. However, as subscription video-on-demand (SVOD) services like Netflix incorporate more advertisements into their platforms, traditional TV broadcasters could lose advertising revenue. Netflix subscriptions for its ad-supported tier have trended upwards, and this trend could encourage companies and advertising agencies to move their advertising budget from traditional TV broadcasters to SVOD platforms in the coming years.

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In 2020, when the coronavirus pandemic broke out, radio advertising spending in the United Kingdom amounted 577.1 million pounds. However, the industry managed to recover in 2021, with ad spend having grown by roughly a quarter to reach ***** million pounds that year. A year later, it increased by another ***** percent to exceed *** million, only to fall by roughly ***** percent in 2023.

BBC radio reach higher than commercial

During the early stages of the pandemic, Classic FM was the most successful commercial radio station in terms of reach in 2020 in the UK. However, it was not the most successful overall. The top three radio stations in terms of reach in the UK in 2020 were BBC stations. BBC Radio 2 had the highest reach, followed by Radio 4 and then Radio 1.

Digital radio reach far from static

The way people listen to the radio has changed, with more and more people listening digitally. In the fist quarter of 2020, digital radio had a reach of ** percent. That’s twice what it was ten years previous.

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The shift in media consumption habits in the United Kingdom is evident, with digital platforms gaining ground over traditional formats. By 2026, consumers in the country are projected to spend over *** hours daily on digital media, while traditional media usage is expected to decline to just over ***** hours. This trend reflects a broader transformation in how people engage with content and information in the digital age. Digital dominance reshapes the entertainment landscape The entertainment and media market in the UK is poised for significant growth, with projections indicating a ****-percent compound annual growth rate between 2024 and 2028, potentially reaching *** billion British pounds. This expansion is driven by changing consumer preferences, particularly in digital media consumption. This is evident, when it comes to video viewing time – traditional sources such as broadcaster TV are losing popularity in favor of YouTube and VOD. And so, digital platforms continue to lead the way in capturing audience attention and market share. Video at the helm of consumers'entertainment time Social media and video streaming platforms are neck-and-neck in capturing user engagement in the UK. As of May 2023, both TikTok and Netflix users spent an average of ** minutes daily on their respective platforms. This parity highlights the presence of many forms of digital video in the daily lives of UK consumers. However, while subscription-based video services maintain a strong presence, there's a growing trend towards free, ad-supported options. Broadcaster video-on-demand (BVOD) providers, particularly BBC iPlayer, are gaining traction among all online TV platforms, indicating a shift in viewer preferences and potentially reshaping the streaming landscape.

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