US Dollar's market value is the price at which a share of US Dollar trades on a public exchange. It measures the collective expectations of US Dollar Currency investors about its performance. US Dollar is listed at 109.41 as of the 19th of January 2025, which is a 0.41% up since the beginning of the trading day. The index's lowest day price was 108.83. With this module, you can estimate the performance of a buy and hold strategy of US Dollar Currency and determine expected loss or profit from investing in US Dollar over a given investment horizon. Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.
Symbol
DXY
US Dollar 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to US Dollar's index what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of US Dollar.
0.00
01/30/2023
No Change 0.00
0.0
In 1 year 11 months and 22 days
01/19/2025
0.00
If you would invest 0.00 in US Dollar on January 30, 2023 and sell it all today you would earn a total of 0.00 from holding US Dollar Currency or generate 0.0% return on investment in US Dollar over 720 days.
US Dollar Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure US Dollar's index current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess US Dollar Currency upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for US Dollar's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as US Dollar's standard deviation. In reality, there are many statistical measures that can use US Dollar historical prices to predict the future US Dollar's volatility.
US Dollar Currency retains Efficiency (Sharpe Ratio) of 0.18, which indicates the index had a 0.18% return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for US Dollar, which you can use to evaluate the volatility of the index. The entity owns a Beta (Systematic Risk) of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and US Dollar are completely uncorrelated.
Auto-correlation
-0.49
Modest reverse predictability
US Dollar Currency has modest reverse predictability. Overlapping area represents the amount of predictability between US Dollar time series from 30th of January 2023 to 25th of January 2024 and 25th of January 2024 to 19th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of US Dollar Currency price movement. The serial correlation of -0.49 indicates that about 49.0% of current US Dollar price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.49
Spearman Rank Test
0.12
Residual Average
0.0
Price Variance
4.13
US Dollar Currency lagged returns against current returns
Autocorrelation, which is US Dollar index's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting US Dollar's index expected returns. We can calculate the autocorrelation of US Dollar returns to help us make a trade decision. For example, suppose you find that US Dollar has exhibited high autocorrelation historically, and you observe that the index is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values
Timeline
US Dollar regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If US Dollar index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if US Dollar index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in US Dollar index over time.
Current vs Lagged Prices
Timeline
US Dollar Lagged Returns
When evaluating US Dollar's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of US Dollar index have on its future price. US Dollar autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, US Dollar autocorrelation shows the relationship between US Dollar index current value and its past values and can show if there is a momentum factor associated with investing in US Dollar Currency.
Regressed Prices
Timeline
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.