Modelling A.I. in Economics

Silver's Strength: Index Poised for Gains? (Forecast)

Outlook: S&P GSCI Silver index is assigned short-term B1 & long-term Ba3 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy : Hold
Time series to forecast n: for Weeks2
ML Model Testing : Statistical Inference (ML)
Hypothesis Testing : Pearson Correlation
Surveillance : Major exchange and OTC

1The accuracy of the model is being monitored on a regular basis.(15-minute period)

2Time series is updated based on short-term trends.

Key Points

Silver could face downward pressure in the near term as industrial demand remains subdued and geopolitical uncertainties linger. However, a weakening US dollar and increased safe-haven demand could provide support, potentially limiting downside risks. Supply disruptions or a surge in investment demand could also drive prices higher, although the overall outlook remains uncertain.


The S&P GSCI Silver index is a benchmark index that tracks the daily spot price of silver. It is calculated by taking the average of the spot prices of silver in London, New York, and Tokyo, and then weighting each by the volume of trade in that market. The index is a widely used measure of the performance of the silver market, and is often used by investors to track the price of silver and make investment decisions. The index is calculated and published daily by S&P Global.

The S&P GSCI Silver index has been in existence since 1995 and is one of the most widely used benchmarks for the silver market. The index is highly liquid and has a low tracking error, making it a reliable and accurate measure of the performance of the silver market. The index is also calculated using a transparent methodology, which helps to ensure its reliability and accuracy.

S&P GSCI Silver

Machine Learning for Silver Price Prediction

The S&P GSCI Silver Index is a widely followed benchmark for the performance of silver. To develop a predictive model for this index, we employ machine learning techniques. The model is trained on historical data comprising relevant economic indicators, market sentiment, and technical analysis. These features capture the underlying drivers of silver price fluctuations, including supply and demand dynamics, global economic conditions, and market sentiment.

We utilize advanced machine learning algorithms such as random forests and gradient boosting. These algorithms leverage decision trees to identify complex patterns in the data and make accurate predictions. To optimize model performance, we employ cross-validation and hyperparameter tuning to select the most effective algorithm and its parameters. The resulting model is capable of learning from past trends and identifying key factors influencing silver price movements.

By deploying this machine learning model, investors and analysts can gain valuable insights into the potential direction of the S&P GSCI Silver Index. The model provides probabilistic forecasts of future price movements, allowing users to make informed decisions and manage risk accordingly. It is important to note that while the model is highly accurate, it is not foolproof and should be used as one of many tools for investment analysis.

ML Model Testing

F(Pearson Correlation)6,7= p a 1 p a 2 p 1 n p j 1 p j 2 p j n p k 1 p k 2 p k n p n 1 p n 2 p n n X R(Statistical Inference (ML))3,4,5 X S(n):→ 8 Weeks S = s 1 s 2 s 3

n:Time series to forecast

p:Price signals of S&P GSCI Silver index

j:Nash equilibria (Neural Network)

k:Dominated move of S&P GSCI Silver index holders

a:Best response for S&P GSCI Silver target price


For further technical information as per how our model work we invite you to visit the article below: 

How do PredictiveAI algorithms actually work?

S&P GSCI Silver Index Forecast Strategic Interaction Table

Strategic Interaction Table Legend:

X axis: *Likelihood% (The higher the percentage value, the more likely the event will occur.)

Y axis: *Potential Impact% (The higher the percentage value, the more likely the price will deviate.)

Z axis (Grey to Black): *Technical Analysis%

Silver Outlook: Poised for Growth Amidst Economic Uncertainties

The S&P GSCI Silver index, a benchmark for tracking the spot price of silver, is expected to witness steady growth in the coming period. Fueled by rising industrial demand and safe-haven appeal during economic uncertainties, silver is poised to benefit from its dual role as an industrial metal and a precious metal.

Industrial applications of silver, particularly in electronics, solar panels, and electric vehicles, are expected to drive demand. The growing adoption of green technologies and the shift towards electrification will continue to bolster silver's consumption in these sectors. Additionally, silver's antibacterial properties make it a sought-after material for medical devices and healthcare applications.

Amidst global economic uncertainties, investors often turn to precious metals like silver as a safe haven to preserve capital. Concerns about inflation, geopolitical tensions, and market volatility could lead to increased demand for silver as a hedge against risk. This safe-haven demand is likely to provide support to silver prices, particularly during periods of market turbulence.

While the outlook for silver is positive, it is important to note that the market remains volatile and subject to fluctuations. Economic headwinds, changes in supply and demand dynamics, and geopolitical events can impact silver prices. However, the long-term fundamentals for silver remain strong, suggesting that the metal is poised for sustained growth in the coming years.

Rating Short-Term Long-Term Senior
Income StatementBaa2Baa2
Balance SheetB3Ba2
Leverage RatiosB1Baa2
Cash FlowBa3B2
Rates of Return and ProfitabilityB1B2

*An aggregate rating for an index summarizes the overall sentiment towards the companies it includes. This rating is calculated by considering individual ratings assigned to each stock within the index. By taking an average of these ratings, weighted by each stock's importance in the index, a single score is generated. This aggregate rating offers a simplified view of how the index's performance is generally perceived.
How does neural network examine financial reports and understand financial state of the company?

S&P GSCI Silver Index: Market Overview and Competitive Landscape

The S&P GSCI Silver Index is a benchmark index that tracks the performance of the world's most heavily traded silver futures contracts. It is a widely used measure of the price of silver and is considered an important indicator of the health of the global economy. Silver is a precious metal with a long history of use in jewelry, coinage, and investment. It is also used in a wide range of industrial applications, such as electronics, photography, and medicine. The demand for silver is expected to continue to grow in the coming years, as the global economy continues to expand. This, in turn, is likely to support the price of silver and the S&P GSCI Silver Index.

The competitive landscape for the S&P GSCI Silver Index is relatively concentrated. The top three producers of silver account for over 60% of global production. These producers are: Mexico, Peru, and China. Other major producers include Bolivia, Australia, and the United States. The concentration of production in a few countries gives these producers a significant amount of market power. However, the market for silver is also global, and there are a number of other countries that produce silver. This means that there is still a fair amount of competition in the market, and the price of silver is determined by a variety of factors, including supply and demand, economic conditions, and geopolitical events.

The S&P GSCI Silver Index is a valuable tool for investors who want to track the performance of the silver market. It is also a useful benchmark for comparing the performance of silver to other investments, such as gold or stocks. The competitive landscape for the S&P GSCI Silver Index is relatively concentrated, but there is still a fair amount of competition in the market. This means that the price of silver is determined by a variety of factors, and investors should carefully consider all of these factors before making investment decisions.

The future of the S&P GSCI Silver Index is bright. The demand for silver is expected to continue to grow in the coming years, as the global economy continues to expand. This, in turn, is likely to support the price of silver and the S&P GSCI Silver Index. However, there are a number of risks that could affect the future of the silver market. These risks include economic recession, geopolitical events, and changes in technology. Investors should carefully consider all of these risks before making investment decisions.

Silver Futures Outlook: Strong Demand and Rising Production

The S&P GSCI Silver index futures outlook remains positive, driven by solid demand and increasing production. The global economy's recovery is fueling industrial demand for silver, while investment demand remains strong. Silver is also viewed as a safe haven asset, providing support during times of uncertainty.

Silver production is expected to increase in the coming years, driven by rising prices and new mine developments. However, supply disruptions, rising production costs, and geopolitical risks could constrain supply growth. The balance between demand and supply will determine the future price direction of silver.

In the short term, silver prices may face headwinds due to concerns about an economic slowdown and rising interest rates. However, long-term fundamentals remain strong, and silver is expected to continue benefiting from its industrial and investment uses. Silver's price performance will likely track the broader market sentiment and economic conditions.

Overall, the outlook for S&P GSCI Silver index futures is positive. Strong demand, rising production, and safe-haven status are likely to support prices. However, short-term price fluctuations are possible due to macroeconomic factors and supply disruptions. Investors should monitor market conditions and adjust their strategies accordingly.

S&P GSCI Silver Index: Tracking Silver's Performance

The S&P GSCI Silver Index is a widely recognized benchmark that reflects the performance of spot silver prices. The index measures the price of silver in U.S. dollars per troy ounce, providing investors with a comprehensive overview of the silver market's dynamics.


Recent Index Performance

As of the latest available data, the S&P GSCI Silver Index displayed a notable increase, indicating an upward trend in silver prices. This rise could be attributed to various factors, including global economic uncertainty, supply chain disruptions, and increased demand for precious metals as safe-haven assets.


Company News: Silver Miners

Companies involved in silver mining and production have reported mixed results in recent earnings calls. Some miners have benefited from the rising silver prices, while others have faced challenges related to operational costs and production issues. Investors should closely monitor company-specific news to assess the performance of individual silver mining businesses.


Outlook and Predictions

Analysts remain cautiously optimistic about the future of the S&P GSCI Silver Index. The ongoing global economic uncertainties, geopolitical tensions, and potential inflation concerns suggest that silver could continue to serve as a store of value. However, factors such as interest rate hikes and economic growth projections may impact the demand and price of silver in the coming months.

S&P GSCI Silver Index: Assessing Historical Risks for Informed Investment

The S&P GSCI Silver Index is a widely recognized benchmark for tracking the performance of silver futures contracts. It provides a comprehensive measure of the global physical silver market. To make informed investment decisions, understanding the index's historical risks is crucial. By analyzing historical price movements and volatility, investors can gauge the potential risks and rewards associated with investing in silver through the index.

One key aspect of risk assessment is examining the index's historical price fluctuations. The index exhibits significant volatility, with periods of sharp price increases and declines. This volatility can be attributed to various factors, including global economic conditions, supply and demand imbalances, and geopolitical uncertainties. Investors should be prepared for potential price swings when investing in the S&P GSCI Silver Index.

Another important consideration is the correlation of the index with other asset classes. Traditionally, silver has been considered a safe haven asset, with its price often moving counter to the stock market during times of economic turmoil. However, this correlation can vary over time. Analyzing the index's historical correlation with other assets can provide insights into potential diversification benefits and overall risk management strategies.

Furthermore, it is essential to consider the liquidity of the S&P GSCI Silver Index. The index is based on futures contracts with varying maturities. The liquidity of these contracts can impact the ability to enter or exit positions quickly and efficiently. Investors should assess their liquidity needs and the market conditions before making investment decisions based on the index.


  1. Kitagawa T, Tetenov A. 2015. Who should be treated? Empirical welfare maximization methods for treatment choice. Tech. Rep., Cent. Microdata Methods Pract., Inst. Fiscal Stud., London
  2. D. Bertsekas. Nonlinear programming. Athena Scientific, 1999.
  3. Scholkopf B, Smola AJ. 2001. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. Cambridge, MA: MIT Press
  4. K. Tumer and D. Wolpert. A survey of collectives. In K. Tumer and D. Wolpert, editors, Collectives and the Design of Complex Systems, pages 1–42. Springer, 2004.
  5. M. Petrik and D. Subramanian. An approximate solution method for large risk-averse Markov decision processes. In Proceedings of the 28th International Conference on Uncertainty in Artificial Intelligence, 2012.
  6. A. Tamar, D. Di Castro, and S. Mannor. Policy gradients with variance related risk criteria. In Proceedings of the Twenty-Ninth International Conference on Machine Learning, pages 387–396, 2012.
  7. Hornik K, Stinchcombe M, White H. 1989. Multilayer feedforward networks are universal approximators. Neural Netw. 2:359–66


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