Retail Price Index: Fujian: Gold, Silver & Jewellery data was reported at 101.900 Prev Year=100 in 2022. This records an increase from the previous number of 98.200 Prev Year=100 for 2021. Retail Price Index: Fujian: Gold, Silver & Jewellery data is updated yearly, averaging 100.500 Prev Year=100 from Dec 1994 (Median) to 2022, with 29 observations. The data reached an all-time high of 119.200 Prev Year=100 in 2020 and a record low of 91.200 Prev Year=100 in 1998. Retail Price Index: Fujian: Gold, Silver & Jewellery data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IB: Retail Price Index: Fujian.

Gold rose to 3,320.86 USD/t.oz on July 1, 2025, up 0.53% from the previous day. Over the past month, Gold's price has fallen 1.80%, but it is still 42.51% higher than a year ago, 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 July of 2025.

Vietnam Gold Price Index: YoY: Hanoi data was reported at 3.370 % in Jun 2018. This records a decrease from the previous number of 4.000 % for May 2018. Vietnam Gold Price Index: YoY: Hanoi data is updated monthly, averaging 5.635 % from Aug 2008 (Median) to Jun 2018, with 118 observations. The data reached an all-time high of 71.470 % in Dec 2009 and a record low of -25.020 % in Jan 2014. Vietnam Gold Price Index: YoY: Hanoi data remains active status in CEIC and is reported by Hanoi Statistical Office. The data is categorized under Global Database’s Vietnam – Table VN.I030: Gold Price Index: MoM & YoY Growth.

Interactive chart of historical data for real (inflation-adjusted) gold prices per ounce back to 1915. The series is deflated using the headline Consumer Price Index (CPI) with the most recent month as the base. The current month is updated on an hourly basis with today's latest value.

Predictions: S&P GSCI Gold index is expected to continue its upward trend in the near term, driven by safe-haven demand amid ongoing geopolitical uncertainties and concerns about global economic growth. The index may face some resistance at higher levels, but it is likely to break through and reach new highs. Risks: The main risks to the S&P GSCI Gold index's upward trend include a significant improvement in the global economic outlook, a sharp decline in geopolitical tensions, and a shift in investor sentiment towards riskier assets. A prolonged period of high inflation could also pose a risk to the index, as investors may seek alternative safe-haven assets such as bonds.

Graph and download economic data for Producer Price Index by Commodity: Metals and Metal Products: Gold Ores (WPU10210501) from Jun 1985 to Dec 2021 about ore, gold, metals, commodities, PPI, inflation, price index, indexes, price, and USA.

Vietnam Gold Price Index: MoM: Hanoi data was reported at 0.400 % in Sep 2018. This records an increase from the previous number of -1.730 % for Aug 2018. Vietnam Gold Price Index: MoM: Hanoi data is updated monthly, averaging -0.045 % from Aug 2008 (Median) to Sep 2018, with 122 observations. The data reached an all-time high of 14.660 % in Sep 2011 and a record low of -8.090 % in Nov 2008. Vietnam Gold Price Index: MoM: Hanoi data remains active status in CEIC and is reported by Hanoi Statistical Office. The data is categorized under Global Database’s Vietnam – Table VN.T030:Table VN.I030: Gold Price Index: MoM & YoY Growth.

Graph and download economic data for Import Price Index (Harmonized System): Silver (Including Silver Plated with Gold or Platinum), Unwrought or in Semimanufactured Forms, or in Powder Form (IP7106) from Dec 2021 to May 2025 about silver, harmonized, imports, price index, indexes, price, and USA.

Graph and download economic data for Import Price Index (End Use): Nonmonetary Gold (IR14270) from Dec 1992 to May 2025 about end use, gold, imports, price index, indexes, price, and USA.

United States - Import Price Index (End Use): Nonmonetary Gold was 128.60000 Index 2000=100 in May of 2025, according to the United States Federal Reserve. Historically, United States - Import Price Index (End Use): Nonmonetary Gold reached a record high of 157.20000 in September of 2005 and a record low of 9.50000 in September of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Import Price Index (End Use): Nonmonetary Gold - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for Producer Price Index by Industry: Gold Ore and Silver Ore Mining (PCU2122221222) from Dec 1984 to Aug 2018 about silver, ore, gold, mining, PPI, industry, inflation, price index, indexes, price, and USA.

Graph and download economic data for Producer Price Index by Commodity: Miscellaneous Products: Jewelry, Gold and Platinum (WPU15940222) from Dec 2011 to May 2025 about platinum, jewelry, gold, miscellaneous, commodities, PPI, inflation, price index, indexes, price, and USA.

Vietnam Gold Price Index: Prev Dec=100: HCMC data was reported at 100.120 Prev Dec=100 in Nov 2018. This records an increase from the previous number of 100.090 Prev Dec=100 for Oct 2018. Vietnam Gold Price Index: Prev Dec=100: HCMC data is updated monthly, averaging 101.425 Prev Dec=100 from May 2006 (Median) to Nov 2018, with 150 observations. The data reached an all-time high of 166.450 Prev Dec=100 in Dec 2009 and a record low of 75.780 Prev Dec=100 in Dec 2013. Vietnam Gold Price Index: Prev Dec=100: HCMC data remains active status in CEIC and is reported by Ho Chi Minh City Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.I029: Gold Price Index.

This dataset provides values for GOLD RESERVES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Graph and download economic data for Export Price Index (End Use): Nonmonetary Gold (IQ12260) from Dec 1984 to May 2025 about end use, gold, exports, price index, indexes, price, and USA.

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.

What happens to gold if CPI increases?

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 States - Producer Price Index by Commodity: Metals and Metal Products: Gold Ores was 444.72200 Index Jun 1985=100 in December of 2021, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Metals and Metal Products: Gold Ores reached a record high of 515.90000 in August of 2020 and a record low of 78.40000 in April of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Metals and Metal Products: Gold Ores - last updated from the United States Federal Reserve on July of 2025.

United States - CBOE Gold ETF Volatility was 20.41000 Index in June of 2025, according to the United States Federal Reserve. Historically, United States - CBOE Gold ETF Volatility reached a record high of 64.53000 in October of 2008 and a record low of 8.88000 in May of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - CBOE Gold ETF Volatility - last updated from the United States Federal Reserve on June of 2025.

This paper investigates whether gold and silver can be considered safe havens by examining their long-run linkages with 13 stock price indices. More specifically, the stochastic properties of the differential between gold/silver prices and 13 stock indices are analysed applying fractional integration/cointegration methods to daily data, first for a sample from January 2010 until December 2019, then for one from January 2020 until June 2022 which includes the Covid-19 pandemic. The results can be summarised as follows. In the case of the pre-Covid-19 sample ending in December 2019, mean reversion is found for the gold price differential only vis-à-vis a single stock index (SP500). whilst in seven other cases, although the estimated value of d is below 1, the value 1 is inside the confidence interval and thus the unit root null hypothesis cannot be rejected. In the remaining cases the estimated values of d are significantly higher than 1. As for the silver differential, the upper bound is 1 only in two cases, whilst in the others mean reversion does not occur. Thus, the evidence is mixed on whether these precious metals can be seen as safe havens, though it appears that this property characterises gold in a slightly higher number of cases. By contrast, when using the sample starting in January 2020, the evidence in favour of gold and silver as possible safe havens is pretty conclusive since mean reversion is only found in a single case, namely that of the gold differential vis-à-vis the New Zealand stock index.

Graph and download economic data for CBOE Gold ETF Volatility Index (GVZCLS) from 2008-06-03 to 2025-06-27 about ETF, VIX, gold, volatility, stock market, and USA.