Graph and download economic data for Equity Market Volatility Tracker: Macroeconomic News and Outlook: Interest Rates (EMVMACROINTEREST) from Jan 1985 to Jun 2025 about volatility, uncertainty, equity, interest rate, interest, rate, and USA.

In 2024, ** percent of adults in the United States invested in the stock market. This figure has remained steady over the last few years, and is still below the levels before the Great Recession, when it peaked in 2007 at ** percent. What is the stock market? The stock market can be defined as a group of stock exchanges, where investors can buy shares in a publicly traded company. In more recent years, it is estimated an increasing number of Americans are using neobrokers, making stock trading more accessible to investors. Other investments A significant number of people think stocks and bonds are the safest investments, while others point to real estate, gold, bonds, or a savings account. Since witnessing the significant one-day losses in the stock market during the Financial Crisis, many investors were turning towards these alternatives in hopes for more stability, particularly for investments with longer maturities. This could explain the decrease in this statistic since 2007. Nevertheless, some speculators enjoy chasing the short-run fluctuations, and others see value in choosing particular stocks.

The U.S. federal funds rate peaked in 2023 at its highest level since the 2007-08 financial crisis, reaching 5.33 percent by December 2023. A significant shift in monetary policy occurred in the second half of 2024, with the Federal Reserve implementing regular rate cuts. By December 2024, the rate had declined to 4.48 percent. What is a central bank rate? The federal funds rate determines the cost of overnight borrowing between banks, allowing them to maintain necessary cash reserves and ensure financial system liquidity. When this rate rises, banks become more inclined to hold rather than lend money, reducing the money supply. While this decreased lending slows economic activity, it helps control inflation by limiting the circulation of money in the economy. Historic perspective The federal funds rate historically follows cyclical patterns, falling during recessions and gradually rising during economic recoveries. Some central banks, notably the European Central Bank, went beyond traditional monetary policy by implementing both aggressive asset purchases and negative interest rates.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

This is not going to be an article or Op-Ed about Michael Jordan. Since 2009 we've been in the longest bull-market in history, that's 11 years and counting. However a few metrics like the stock market P/E, the call to put ratio and of course the Shiller P/E suggest a great crash is coming in-between the levels of 1929 and the dot.com bubble. Mean reversion historically is inevitable and the Fed's printing money experiment could end in disaster for the stock market in late 2021 or 2022. You can read Jeremy Grantham's Last Dance article here. You are likely well aware of Michael Burry's predicament as well. It's easier for you just to skim through two related videos on this topic of a stock market crash. Michael Burry's Warning see this YouTube. Jeremy Grantham's Warning See this YouTube. Typically when there is a major event in the world, there is a crash and then a bear market and a recovery that takes many many months. In March, 2020 that's not what we saw since the Fed did some astonishing things that means a liquidity sloth and the risk of a major inflation event. The pandemic represented the quickest decline of at least 30% in the history of the benchmark S&P 500, but the recovery was not correlated to anything but Fed intervention. Since the pandemic clearly isn't disappearing and many sectors such as travel, business travel, tourism and supply chain disruptions appear significantly disrupted - the so-called economic recovery isn't so great. And there's this little problem at the heart of global capitalism today, the stock market just keeps going up. Crashes and corrections typically occur frequently in a normal market. But the Fed liquidity and irresponsible printing of money is creating a scenario where normal behavior isn't occurring on the markets. According to data provided by market analytics firm Yardeni Research, the benchmark index has undergone 38 declines of at least 10% since the beginning of 1950. Since March, 2020 we've barely seen a down month. September, 2020 was flat-ish. The S&P 500 has more than doubled since those lows. Look at the angle of the curve: The S&P 500 was 735 at the low in 2009, so in this bull market alone it has gone up 6x in valuation. That's not a normal cycle and it could mean we are due for an epic correction. I have to agree with the analysts who claim that the long, long bull market since 2009 has finally matured into a fully-fledged epic bubble. There is a complacency, buy-the dip frenzy and general meme environment to what BigTech can do in such an environment. The weight of Apple, Amazon, Alphabet, Microsoft, Facebook, Nvidia and Tesla together in the S&P and Nasdaq is approach a ridiculous weighting. When these stocks are seen both as growth, value and companies with unbeatable moats the entire dynamics of the stock market begin to break down. Check out FANG during the pandemic. BigTech is Seen as Bullet-Proof me valuations and a hysterical speculative behavior leads to even higher highs, even as 2020 offered many younger people an on-ramp into investing for the first time. Some analysts at JP Morgan are even saying that until retail investors stop charging into stocks, markets probably don’t have too much to worry about. Hedge funds with payment for order flows can predict exactly how these retail investors are behaving and monetize them. PFOF might even have to be banned by the SEC. The risk-on market theoretically just keeps going up until the Fed raises interest rates, which could be in 2023! For some context, we're more than 1.4 years removed from the bear-market bottom of the coronavirus crash and haven't had even a 5% correction in nine months. This is the most over-priced the market has likely ever been. At the night of the dot-com bubble the S&P 500 was only 1,400. Today it is 4,500, not so many years after. Clearly something is not quite right if you look at history and the P/E ratios. A market pumped with liquidity produces higher earnings with historically low interest rates, it's an environment where dangerous things can occur. In late 1997, as the S&P 500 passed its previous 1929 peak of 21x earnings, that seemed like a lot, but nothing compared to today. For some context, the S&P 500 Shiller P/E closed last week at 38.58, which is nearly a two-decade high. It's also well over double the average Shiller P/E of 16.84, dating back 151 years. So the stock market is likely around 2x over-valued. Try to think rationally about what this means for valuations today and your favorite stock prices, what should they be in historical terms? The S&P 500 is up 31% in the past year. It will likely hit 5,000 before a correction given the amount of added liquidity to the system and the QE the Fed is using that's like a huge abuse of MMT, or Modern Monetary Theory. This has also lent to bubbles in the housing market, crypto and even commodities like Gold with long-term global GDP meeting many headwinds in the years ahead due to a...

The Federal National Mortgage Association, commonly known as Fannie Mae, was created by the U.S. congress in 1938, in order to maintain liquidity and stability in the domestic mortgage market. The company is a government-sponsored enterprise (GSE), meaning that while it was a publicly traded company for most of its history, it was still supported by the federal government. While there is no legally binding guarantee of shares in GSEs or their securities, it is generally acknowledged that the U.S. government is highly unlikely to let these enterprises fail. Due to these implicit guarantees, GSEs are able to access financing at a reduced cost of interest. Fannie Mae's main activity is the purchasing of mortgage loans from their originators (banks, mortgage brokers etc.) and packaging them into mortgage-backed securities (MBS) in order to ease the access of U.S. homebuyers to housing credit. The early 2000s U.S. mortgage finance boom During the early 2000s, Fannie Mae was swept up in the U.S. housing boom which eventually led to the financial crisis of 2007-2008. The association's stated goal of increasing access of lower income families to housing finance coalesced with the interests of private mortgage lenders and Wall Street investment banks, who had become heavily reliant on the housing market to drive profits. Private lenders had begun to offer riskier mortgage loans in the early 2000s due to low interest rates in the wake of the "Dot Com" crash and their need to maintain profits through increasing the volume of loans on their books. The securitized products created by these private lenders did not maintain the standards which had traditionally been upheld by GSEs. Due to their market share being eaten into by private firms, however, the GSEs involved in the mortgage markets began to also lower their standards, resulting in a 'race to the bottom'. The fall of Fannie Mae The lowering of lending standards was a key factor in creating the housing bubble, as mortgages were now being offered to borrowers with little or no ability to repay the loans. Combined with fraudulent practices from credit ratings agencies, who rated the junk securities created from these mortgage loans as being of the highest standard, this led directly to the financial panic that erupted on Wall Street beginning in 2007. As the U.S. economy slowed down in 2006, mortgage delinquency rates began to spike. Fannie Mae's losses in the mortgage security market in 2006 and 2007, along with the losses of the related GSE 'Freddie Mac', had caused its share value to plummet, stoking fears that it may collapse. On September 7th 2008, Fannie Mae was taken into government conservatorship along with Freddie Mac, with their stocks being delisted from stock exchanges in 2010. This act was seen as an unprecedented direct intervention into the economy by the U.S. government, and a symbol of how far the U.S. housing market had fallen.

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.

AGNC: Will Mortgage REIT Thrive in a Rising Rate Environment?

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

United Kingdom's main stock market index, the GB100, fell to 8941 points on July 11, 2025, losing 0.38% from the previous session. Over the past month, the index has climbed 0.63% and is up 8.34% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United Kingdom. United Kingdom Stock Market Index (GB100) - values, historical data, forecasts and news - updated on July of 2025.

The Financial Asset Investing industry's revenue is largely dictated by the performance of domestic and international financial markets. Volatility in global financial markets due to the pandemic and the Russia-Ukraine conflict has contributed to a decline in confidence. Industry revenue is expected to fall at an annualised 3.2% over the five years through 2023-24, to total $31.1 billion. This trend includes an anticipated uptick of 0.1% in the current year. Industry revenue has been highly volatile, with sharemarket performance remaining relatively weak due to the pandemic. As a result, profitability has trended downwards. Despite this decline, industry participation has jumped, as asset investing becomes more popular among consumers and businesses, including investments in riskier assets like domestic and international equities. To curb inflation, the RBNZ has repeatedly raised its official cash rate, resulting in a 14-year high in cash rates and a surge in interest rates in New Zealand. Rising interest rates have sparked interest in longer term debt securities due to their higher yield, which is more enticing for investors. This has somewhat offset the decline in industry revenue. Industry revenue is forecast to grow moving forwards. A strong economic recovery following the pandemic and easing global concerns are projected to drive revenue growth, as investors are more eager to take on higher risk. Forecast rate cuts are set to stimulate stock market performance. Instead of longer term debt securities like bonds, investors will start gravitating towards equities as yields gradually decline. Other factors set to drive growth include lower revenue volatility and a rise in industry assets contributing to growing investment returns. Technology will continue to play a key role in the Financial Asset Investing industry. Fintech advancements, like chatbots and robo-advisors, are set to enhance profitability in the coming years by automating tasks and reducing reliance on administrative labour. However, firms will likely face stronger competition for funds from superannuation funds and KiwiSaver schemes. Overall, industry revenue is forecast to grow at an annualised 3.3% over the five years through 2028-29, to reach $36.5 billion.

Stock Exchanges Market Outlook

The global stock exchanges market size is projected to grow from USD 85 billion in 2023 to USD 130 billion by 2032, reflecting a compound annual growth rate (CAGR) of 4.8%. This steady growth is underpinned by a multitude of factors, including advancements in trading technology, the increasing complexity of financial instruments, and the rising participation of retail and institutional investors in global financial markets. The proliferation of electronic trading platforms, alongside traditional stock exchanges, is also contributing significantly to the growth of this market, providing enhanced accessibility, transparency, and efficiency in trading operations worldwide.

A key growth factor driving the expansion of the stock exchanges market is the ongoing digital transformation across the financial sector. With the advent of sophisticated trading technologies such as algorithmic trading and high-frequency trading, stock exchanges are increasingly adopting cutting-edge IT infrastructures to handle large volumes of trade data with superior accuracy and speed. Furthermore, the development of blockchain technology is poised to revolutionize clearing and settlement processes, reducing costs and the time taken for transaction finalization. This technological evolution is not only enhancing the operational efficiency of stock exchanges but also broadening the scope for innovative financial products, thereby attracting a wider array of market participants.

Another significant driver is the globalization of financial markets, which has led to a convergence in trading practices and regulations. As cross-border investments surge, stock exchanges are compelled to offer diverse products and services to cater to a global clientele. This necessitates continuous improvements in trading platforms and regulatory frameworks to manage the complexities associated with international investments. Additionally, increasing wealth in emerging economies is spurring investment activities, thereby boosting the demand for reliable and efficient stock exchanges. These dynamics are fueling the growth of the market by fostering an environment conducive to investment and financial inclusivity.

The increasing interest from retail investors is also a major factor contributing to the growth of the stock exchanges market. The advent of user-friendly trading apps and platforms has democratized stock trading, enabling retail investors to participate actively in financial markets. Enhanced financial literacy and the widespread availability of information have empowered individual investors to make informed decisions, leading to an upsurge in market participation. This rise in retail trading volume is prompting stock exchanges to innovate and expand their offerings to accommodate this burgeoning segment, thus driving market growth.

Regionally, North America continues to dominate the stock exchanges market, driven by the presence of major exchanges such as the New York Stock Exchange (NYSE) and NASDAQ. However, the Asia Pacific region is emerging as a formidable player due to rapid economic growth, regulatory reforms, and technological advancements in countries like China, India, and Japan. The region is witnessing a significant influx of foreign capital, bolstering trading activities and propelling market expansion. Europe also holds a substantial share, supported by its mature financial markets and strong institutional investor base. Meanwhile, Latin America and the Middle East & Africa are exhibiting potential for growth, albeit at a relatively slower pace, as they develop their financial infrastructures and regulatory environments.

Type Analysis

The stock exchanges market is bifurcated into traditional stock exchanges and electronic trading platforms, each serving distinct roles in the financial ecosystem. Traditional stock exchanges have long been the cornerstone of financial markets, operating as centralized venues where securities are bought and sold. These exchanges, such as the NYSE and London Stock Exchange, are characterized by their stringent regulatory frameworks and structured trading environments, which instill confidence and trust among market participants. Despite the technological advancements, traditional exchanges continue to hold a significant share of the market due to their established reputations and the comprehensive services they offer, including listing, trading, and settlement.

On the other hand, electronic trading platforms have gained momentum in recent years, driven by the demand for greater efficiency and flexibility in trading. These platf

Interactive chart of the Dow Jones Industrial Average (DJIA) stock market index for the last 100 years. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

As of November 14, 2021, all S&P 500 sector indices had recovered to levels above those of January 2020, prior to full economic effects of the global coronavirus (COVID-19) pandemic taking hold. However, different sectors recovered at different rates to sit at widely different levels above their pre-pandemic levels. This suggests that the effect of the coronavirus on financial markets in the United States is directly affected by how the virus has impacted various parts of the underlying economy. Which industry performed the best during the coronavirus pandemic? Companies operating in the information technology (IT) sector have been the clear winners from the pandemic, with the IT S&P 500 sector index sitting at almost ** percent above early 2020 levels as of November 2021. This is perhaps not surprising given this industry includes some of the companies who benefitted the most from the pandemic such as ************** and *******. The reason for these companies’ success is clear – as shops were shuttered and social gatherings heavily restricted due to the pandemic, online services such shopping and video streaming were in high demand. The success of the IT sector is also reflected in the performance of global share markets during the coronavirus pandemic, with tech-heavy NASDAQ being the best performing major market worldwide. Which industry performed the worst during the pandemic? Conversely, energy companies fared the worst during the pandemic, with the S&P 500 sector index value sitting below its early 2020 value as late as July 2021. Since then it has somewhat recovered, and was around ** percent above January 2020 levels as of October 2021. This reflects the fact that many oil companies were among the share prices suffering the largest declines over 2020. A primary driver for this was falling demand for fuel in line with the reduction in tourism and commuting caused by lockdowns all over the world. However, as increasing COVID-19 vaccination rates throughout 2021 led to lockdowns being lifted and global tourism reopening, demand has again risen - reflected by the recent increase in the S&P 500 energy index.

China's main stock market index, the SHANGHAI, rose to 3520 points on July 14, 2025, gaining 0.27% from the previous session. Over the past month, the index has climbed 3.86% and is up 18.35% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

Turkey's main stock market index, the BIST 100, rose to 10362 points on July 11, 2025, gaining 0.30% from the previous session. Over the past month, the index has climbed 8.84%, though it remains 6.35% lower than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Turkey. Turkey Stock Market - values, historical data, forecasts and news - updated on July of 2025.

France's main stock market index, the FR40, fell to 7829 points on July 11, 2025, losing 0.92% from the previous session. Over the past month, the index has climbed 0.83% and is up 1.36% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on July of 2025.

Sweden's main stock market index, the Stockholm, fell to 2545 points on July 11, 2025, losing 1.37% from the previous session. Over the past month, the index has climbed 2.56%, though it remains 3.25% lower than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Sweden. Sweden Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

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.

Will BlackRock Income (BKT) Stock Continue Its Upward Trajectory?

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

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.

Will Realty (O) Income Shine in the Spotlight?

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

Investment trusts have navigated a turbulent environment over recent years, characterised by regulatory changes and uncertain economic conditions. While demand for investment trusts has stayed fairly strong, alternative investment vehicles like open-ended investment companies have put pressure with their competitive prices, encouraging investment trusts to band together through consolidation to drive down fees charged thanks to economies of scale. Revenue is expected to grow at a compound annual rate of 2.9% over the five years through 2025-26 to £1.7 billion, including estimated growth of 6.5% in 2025-26, while the average industry profit margin is anticipated to be 27.4%. After the financial crisis in 2008, ultra-low interest rates supported equity growth as investors sought attractive returns from companies supported by cheap lending rates. This environment came to an end in 2022, as interest rates picked up rapidly amid spiralling inflation. As a result, bond values plummeted, and stock markets recorded lacklustre growth, hurting investment income. Although the rising base rate environment persisted into 2023-24, investors priced in rate cuts near the end of 2023, triggering a rally in stock markets. Capital also flowed into bonds as investors sought to lock in higher yields before they would potentially decline in 2024-25. In 2025-26, trusts will likely limit their exposure to US markets despite healthy growth seen from big tech firms in 2024-25, cautious of US fiscal policy, rising debt and the risk that trade tariffs will trigger a recession. Bond markets will also remain volatile, with markets unsure about the speed of rate cuts amid trade tensions. However, a declining base rate environment will drive prices up and support returns for investment trusts. Investment trust revenue is expected to grow at a compound annual rate of 4.6% over the five years through 2029-30 to £2.1 billion. Investors will continue to reduce their exposure to the dollar, with the European Stoxx index positioned for healthy growth in the short term, being seen as an effective safe haven in uncertain times. However, regulatory changes proposed by the Financial Conduct Authority have been contentious, putting investment trusts at a disadvantage to alternative investment vehicles like OEICs. Investment trusts will seek acquisitive growth, using mergers and acquisitions to minimise fixed costs through scale and ramp up competitiveness.

Germany's main stock market index, the DE40, fell to 24091 points on July 14, 2025, losing 0.68% from the previous session. Over the past month, the index has climbed 1.65% and is up 29.58% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Germany. Germany Stock Market Index (DE40) - values, historical data, forecasts and news - updated on July of 2025.