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Gold Price Regression

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Time series dataset with financial info for the following:

S&P 500 – SPDR S&P 500 ETF Trust

Nasdaq 100 – Invesco QQQ ETF

US Interest Rates – monthly federal rates

CPI – Consumer Price Index, monthly

USD / CHF forex rate

EUR / USD forex rate

GDP – Gross Domestic Product, trimonthly

Silver – abrdn Physical Silver Shares ETF

Oil – USO ETF

Platinum – abrdn Physical Platinum Shares ETF

Palladium – abrdn Physical Palladium Shares ETF

Gold – SPDR Gold Trust ETF

Data obtained via Alpha Vantage and FRED API services

Description

About Dataset
Gold has historically been viewed as a store of value, preserving wealth over long periods, especially during times of inflation, currency devaluation, or economic instability. Its limited supply and intrinsic value make it less susceptible to the fluctuations that impact fiat currencies and other assets. It’s seen as a hedge against uncertainties, providing stability when traditional assets (like stocks and bonds) are underperforming or at risk.
Central banks hold significant gold reserves as part of their foreign exchange reserves, reflecting the metal’s long-standing importance in the global financial system.

The data is a time series dataset with financial info for some market indices, commodities, economic indicators and forex rates. Market indices and commodities are represented via the respective exchange traded fund. It includes values from 2010 to 2024.

In real world applications, sometimes data will come in different granularities. In this dataset we can find daily, monthly and trimonthly data. Normalizing this inconsistencies and handling nan values should be one of the first challenges when dealing with this dataset.

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