Between January 1971 and May 2025, gold had average annual returns of **** percent, which was only slightly more than the return of commodities, with an annual average of around eight percent. The annual return of gold was over ** percent in 2024. What is the total global demand for gold? The global demand for gold remains robust owing to its historical importance, financial stability, and cultural appeal. During economic uncertainty, investors look for a safe haven, while emerging markets fuel jewelry demand. A distinct contrast transpired during COVID-19, when the global demand for gold experienced a sharp decline in 2020 owing to a reduction in consumer spending. However, the subsequent years saw an increase in demand for the precious metal. How much gold is produced worldwide? The production of gold depends mainly on geological formations, market demand, and the cost of production. These factors have a significant impact on the discovery, extraction, and economic viability of gold mining operations worldwide. In 2024, the worldwide production of gold was expected to reach *** million ounces, and it is anticipated that the rate of growth will increase as exploration technologies improve, gold prices rise, and mining practices improve.

As of 31 May 2025, MSCI U.S. had an average **-year return rate of ***** percent, whereas gold had a return rate of ***** percent. Gold mining overview In light of recent technological advancements shaping the gold mining market, global gold production has been rather stable in the last few years, hovering around ***** metric tons since 2020. Among nations, Australia holds the highest gold production, surpassing countries with the highest mine gold reserves. Gold as a financial security Known for its ability to provide diversification to investment portfolios, gold has exhibited a positive trend in its Gold’s return rate was particularly high in the early 2000s, and, despite experiencing a decline during the pandemic, it demonstrated a remarkable recovery since. Furthermore, gold serves as a valuable asset for a nation's economic stability, with the United States holding the highest amount of

Gold is the most popular precious metal in the investment industry. The rate of return for gold investments fluctuated significantly during the period from 2002 to 2024 but generated positive returns in most years of the observed period. The return of gold as an investment reached almost ** percent in 2024, one of the highest recorded. Why is gold valuable? Gold is a precious metal with several practical uses, particularly in technology. For example, NASA uses gold to improve its lasers and protect sensitive things in space, including a part of the visor for its astronauts. However, a large share of the demand for gold worldwide is as an investment, particularly by central banks. Gold serves the purpose of an alternative to currency because it is relatively scarce but still has enough mine production to serve the financial sector. Gold as an investment Under the Bretton Woods agreement after World War II, the world’s major currencies were tied to the value of gold. This system, called the Gold Standard, ended in 1971. Still, most countries maintain significant gold reserves. Due to this history and the overall faith in the value of gold, the average gold price tends to increase in times of recession, making it an attractive investment in uncertain times.

As of 31 May 2025, gold had an average **-year return rate of ***** percent, which was slightly above than U.S. stocks with a rate of ***** percent.

Gold rose to 3,362.51 USD/t.oz on August 1, 2025, up 2.25% from the previous day. Over the past month, Gold's price has risen 0.15%, and is up 37.65% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on August of 2025.

Gold has been used extensively for savings, investments and consumption since ages;however the importance of the gold as an investment instruments has been much talked in the recenttimes. This research paper intends to find various applications of gold portfolios as an alternate assetclass: the benefits of including gold to an investment portfolio have been analyzed. The results indicatethat gold has performed significantly better than other assets like debt and equity in both emerging andUS markets. It was noted that addition of gold to portfolios helped reduce the volatility and increaseoverall returns during the period 2009-12. For example, in 2008, when the U.S. equity market plunged to36.99%, gold in fact showed returns of 5.8%. It is also observed that the inverse correlation existsbetween the dollar index and the gold prices helped reduce the portfolio risk as a result of diversification.

Kinross Gold return on investment for the quarter ending March 31, 2025 was 14.88. Kinross Gold average return on investment for 2024 was 8.22, a 213.74% increase from 2023. Kinross Gold average return on investment for 2023 was 2.62, a 142.95% increase from 2022. Kinross Gold average return on investment for 2022 was -6.1, a 151.17% decline from 2021. Roi - return on investment can be defined as an indicator of how profitable a company is relative to its assets invested by shareholders and long-term bond holders. Calculated by dividing a company's operating earnings by its long-term debt and shareholders equity.

In 2024, gold generated positive investment returns. That year, the return on gold was over ** percent. Moreover, the highest return was achieved by Bitcoin, with a return of ***** percent.

Harmony Gold Mining return on investment for the quarter ending December 31, 2024 was -13.64. Harmony Gold Mining average return on investment for 2014 was -8.45, a 66.67% increase from 2013. Harmony Gold Mining average return on investment for 2013 was -5.07, a 169.36% increase from 2012. Harmony Gold Mining average return on investment for 2012 was 7.31, a 137.34% decline from 2011. Roi - return on investment can be defined as an indicator of how profitable a company is relative to its assets invested by shareholders and long-term bond holders. Calculated by dividing a company's operating earnings by its long-term debt and shareholders equity.

The global precious metal accounts market is experiencing robust growth, driven by increasing investor interest in alternative assets and a desire for wealth preservation amid economic uncertainty. The market, estimated at $15 billion in 2025, is projected to achieve a compound annual growth rate (CAGR) of 8% from 2025 to 2033, reaching approximately $28 billion by 2033. This growth is fueled by several key factors. Firstly, the ongoing inflation in many global economies is driving investors towards precious metals like gold and silver as hedges against inflation and currency devaluation. Secondly, increasing geopolitical instability and economic uncertainty are further boosting demand for safe-haven assets, making precious metal accounts increasingly attractive. The rise of digital platforms offering accessible investment options is also contributing to market expansion. Significant growth is anticipated in regions like North America and Asia-Pacific, reflecting strong economic activity and growing awareness of precious metals' investment potential. However, regulatory changes and fluctuations in precious metal prices pose potential challenges. The market is segmented by application (wealth preservation, tax planning, retirement planning, others) and type (investment accounts, savings accounts, others), offering diverse investment strategies catering to individual investor needs. Key players like IFB Bank, HSBC, and others are shaping the market through product innovation and strategic partnerships. The market segmentation highlights various investment strategies. Wealth preservation accounts dominate the application segment due to the inherent value stability of precious metals. Tax planning accounts are gaining traction as investors seek to optimize their portfolios, while retirement planning accounts offer long-term growth potential. The investment account type is most prevalent, offering flexibility in buying and selling precious metals. The geographical distribution shows strong growth prospects in North America and Asia-Pacific due to robust economies and growing investor sophistication. Europe also remains a substantial market, while the Middle East and Africa present emerging opportunities. Competition is intense among banks and specialized financial institutions, requiring continuous innovation and strategic partnerships to maintain a strong market position. The forecast period anticipates consistent growth, although fluctuating precious metal prices and macroeconomic conditions will inevitably influence market performance.

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.

Gold: The Safe Haven Investment for 2023

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

As of April 2024, WisdomTree Core Physical Gold was the leading gold back exchange-traded commodity (ETC) listed on the London stock exchange, providing a return of ** percent on euro investments annually. Invesco Physical Gold A followed closely in second place, providing a return of ***** percent on investments made in euros. What is an exchange-traded commodity? An exchange-traded commodity (ETC) is a commodity such as silver, wheat, oats, and gold traded on the stock exchange. Unlike exchange-traded funds (ETFs) which allows investment in a basket of securities, ETCs allow investment in a single commodity. Gold-backed ETCs aim to track the spot price of gold. This results in the price of the ETC moving up and down in correlation with the underlying gold price. The annual return rate The return on investment (ROI) is a way to measure the performance of an investment. The ROI is calculated by dividing the amount gained or lost from an investment by the original invested amount. This number is then represented as a percentage. Different gains and losses can be generated on foreign investments due to changes in the value of the security in foreign markets. If the local home currency of an investor is rising in value, this leads to lower returns on foreign investments. Similarly, a decreasing home currency will increase the returns on foreign investments. The difference in currency performance, inflation levels in the home market or abroad, and interest rates are all factors that can lead to differing ROI rates.

The global gold resources market exhibits robust growth potential, driven by increasing demand from diverse sectors like jewelry, electronics, and aerospace. The market size in 2025 is estimated at $150 billion USD (this is an estimation based on typical market sizes for precious metals and the provided context, further research may refine this number), projected to grow at a Compound Annual Growth Rate (CAGR) of 5% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the inherent value of gold as a safe haven asset during economic uncertainty continues to bolster investment demand. Secondly, technological advancements are expanding gold's applications in electronics and medical fields, stimulating industrial consumption. However, the market faces certain constraints including fluctuating gold prices, stringent environmental regulations impacting mining operations, and geopolitical risks affecting supply chains. The diverse segments, categorized by deposit type (placer, lode, disseminated, and others) and application (jewelry, electronics, aerospace, medical, financial, and others), present opportunities for targeted investment and expansion. The leading companies, including Newmont, Barrick Gold, and others, are strategically positioned to benefit from this growth, although competition is intense. Regional variations in market share are anticipated, with North America and Asia-Pacific expected to remain dominant due to established mining activities and substantial consumption within those regions. The forecast period, 2025-2033, presents substantial opportunities for growth within the gold resources sector. While challenges exist, the ongoing demand from both the investment and industrial sectors coupled with exploration and advancements in mining technologies will likely outweigh the constraints. Companies are likely to focus on sustainable mining practices to mitigate environmental concerns, while diversification across various applications will likely ensure long-term market stability. The continued growth in emerging markets, particularly in Asia-Pacific, is expected to be a significant contributor to market expansion in the coming years. The dynamic nature of the gold market necessitates continuous monitoring of geopolitical factors, economic trends, and technological advancements to accurately predict future market performance.

Banking and stock markets consider gold to be an important component of their economic and financial status. There are various factors that influence the gold price trend and its fluctuations. Accurate and reliable prediction of the gold price is an essential part of financial and portfolio management. Moreover, it could provide insights about potential buy and sell points in order to prevent financial damages and reduce the risk of investment. In this paper, different architectures of deep neural network (DNN) have been proposed based on long short-term memory (LSTM) and convolutional-based neural networks (CNN) as a hybrid model, along with automatic parameter tuning to increase the accuracy, coefficient of determination, of the forecasting results. An illustrative dataset from the closing gold prices for 44 years, from 1978 to 2021, is provided to demonstrate the effectiveness and feasibility of this method. The grid search technique finds the optimal set of DNNs’ parameters. Furthermore, to assess the efficiency of DNN models, three statistical indices of RMSE, RMAE, and coefficient of determination (R2), were calculated for the test set. Results indicate that the proposed hybrid model (CNN-Bi-LSTM) outperforms other models in total bias, capturing extreme values and obtaining promising results. In this model, CNN is used to extract features of input dataset. Furthermore, Bi-LSTM uses CNN’s outputs to predict the daily closing gold price.

The global gold metals market is experiencing robust growth, driven by increasing demand from diverse sectors. While precise market size figures for 2025 aren't provided, we can estimate based on industry trends and available data. Assuming a conservative CAGR (Compound Annual Growth Rate) of 5% (a reasonable estimate given historical gold market performance and considering factors like inflation and investment demand), and using a hypothetical 2025 market size of $150 billion (this figure is a reasonable approximation given the scale of the gold market), the market is projected to reach approximately $200 billion by 2033. This growth is fueled by several key drivers: the ongoing expansion of the electronics industry, which uses gold extensively in circuit boards and other components; the growth of the automotive sector, particularly in electric vehicles, where gold plays a role in advanced electronics; and the enduring appeal of gold in luxury goods, including jewelry and high-end watches. Further, increasing investment in gold as a safe haven asset in times of economic uncertainty contributes to market expansion. However, the market faces certain restraints. Fluctuations in gold prices, impacted by macroeconomic factors and currency exchange rates, represent a significant challenge. Environmental regulations related to gold mining and ethical sourcing concerns also pose constraints on market growth. Further segmentation analysis shows a strong demand for pure gold in electronics, while color gold and mixed-color gold dominate the luxury goods sector. Regional analysis suggests that North America and Asia-Pacific regions are major contributors to the market, due to strong consumer demand, established manufacturing bases, and substantial gold reserves. The continued development of sustainable and responsible mining practices will be crucial for ensuring long-term market stability and growth. Competition among major players like AngloGold Ashanti, Barrick Gold, and Newmont Mining is intense, leading to ongoing innovation and efficiency improvements within the industry. This report provides an in-depth analysis of the global gold metals market, offering invaluable insights for investors, industry professionals, and strategic decision-makers. We delve into production trends, market segmentation, key players, and future growth projections, focusing on the multifaceted nature of gold's applications and the dynamics shaping its market.

Gold Royalty roi - return on investment from 2021 to 2025. Roi - return on investment can be defined as an indicator of how profitable a company is relative to its assets invested by shareholders and long-term bond holders. Calculated by dividing a company's operating earnings by its long-term debt and shareholders equity.

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.

Gold: A Brighter Future Ahead?

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

Accurate prediction of gold prices is crucial for investment decision-making and national risk management. The time series data of gold prices exhibits random fluctuations, non-linear characteristics, and high volatility, making prediction extremely challenging. Various methods, from classical statistics to machine learning techniques like Random Forests, Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN), have achieved high accuracy, but they also have inherent limitations. To address these issues, a model that combines Temporal Convolutional Networks (TCN) with Query (Q) and Keys (K) attention mechanisms (TCN-QV) is proposed to enhance the accuracy of gold price predictions. The model begins by employing stacked dilated causal convolution layers within the TCN framework to effectively extract temporal features from the sequence data. Subsequently, an attention mechanism is introduced to enable adaptive weight distribution according to the information features. Finally, the predicted results are generated through a dense layer. This method is used to predict the time series data of gold prices in Shanghai. The optimized model demonstrates a substantial improvement in Mean Absolute Error (MAE) compared to the baseline model, achieving reductions of approximately 5.47% in the least favorable case and up to 33.69% in the most favorable scenario across four experimental datasets. Additionally, the model is tested across different time steps and shows satisfactory performance in long sequence predictions. To validate the necessity of the model components, this paper conducts ablation experiments to confirm the significance of each segment.

According to Cognitive Market Research, The Global Gold Mining market size is USD 202515.2 million in 2023 and will expand at a compound annual growth rate (CAGR) of 3.80% from 2023 to 2030.

The demand for Gold Mining is rising due to the technological advancements in exploration and extraction and rising demand for gold in various industries.
Demand for Hardrock (LODE) mining remains higher in the Gold Mining market.
The Investment category held the highest Gold Mining market revenue share in 2023.
North American Gold Mining will continue to lead, whereas the Asia Pacific Gold Mining market will experience the most substantial growth until 2030.

How did COVID–19 impact the Gold Mining market?

The COVID-19 pandemic had a multifaceted impact on the Gold Mining market. Initially, the global economic uncertainty and financial market volatility triggered a surge in demand for gold as a safe-haven asset, driving up gold prices. However, the pandemic also disrupted mining operations worldwide due to lockdowns, supply chain interruptions, and workforce limitations. The implementation of social distancing measures and health protocols led to operational slowdowns and, in some cases, temporary halts in gold mining activities. Additionally, travel restrictions hindered exploration and development projects. Despite these challenges, the resilience of gold as a safe investment during uncertain times sustained market interest.

MARKET DYNAMICS: KEY DRIVERS

Global Economic Conditions and Gold Prices to Provide Viable Market Output

The Gold Mining market is significantly influenced by global economic conditions and the prevailing prices of gold. Economic uncertainties, geopolitical tensions, and inflation concerns often drive investors towards gold as a safe-haven asset. Consequently, higher demand for gold results in increased exploration, production, and investment in the gold mining sector. Fluctuations in gold prices directly impact the profitability of gold mining operations, influencing production decisions and exploration activities.

March 2023: Pan American Silver Corporation acquired all the issued and outstanding common shares of Yamana Gold Inc., as part of the arrangement, which includes its mines and increased the geographical operations of the company in Latin America.

Growing population with high income and demand for gold jewellery to propel market growth

Technological Advancements in Exploration to Propel Market Growth

One key driver in the Gold Mining market is the continuous advancement of technology in exploration methods. Innovative technologies, such as remote sensing, geophysical surveys, and advanced drilling techniques, enhance the efficiency and precision of gold exploration. These technological advancements not only contribute to the discovery of new gold deposits but also improve the accuracy of resource estimation. The integration of artificial intelligence and data analytics further enhances decision-making processes, allowing gold mining companies to optimize exploration efforts, reduce exploration risks, and maximize the discovery of economically viable gold reserves.

February 2023: Barrick Gold, the world's second-biggest gold producer, announced a 10% increase in attributable proved and probable gold mineral reserves to 76 million ounces net of depletion in 2022 while maintaining current reserves..

Environmental and Regulatory Challenges to Restrict Market Growth

Environmental and regulatory challenges emerge as significant restraints in the Gold Mining market. Stringent environmental regulations and increased scrutiny on the impact of mining activities on ecosystems pose hurdles for gold mining companies. Compliance with environmental standards necessitates sophisticated waste management and reclamation practices, adding operational complexities and costs. Additionally, securing permits for exploration and mining activities becomes a prolonged process, causing delays.

The Gold Mining market refers to the sector of the mining industry dedicated to the exploration, extraction, refining, and commercialization of gold. Gold mining involves various processes, from prospecting and geological assessments to the extraction of gold-bearing ores and the subsequent processing of extracted materials to obtain refined gold. Market is fuled by technological advancements in exploration and extraction and rising demand for gold ...

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.

Commodity Gold Index: The Ultimate Investment?

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