READY SIGNAL CONTROL DATA

Singapore Dollars to U.S. Dollar Spot Exchange Rate

Why Use This Data Source In Your Models?

The Singapore Dollar to U.S. Dollar exchange rate serves as a significant indicator due to Singapore's role as a pivotal trade and financial hub in Asia. Reflecting global trade patterns and economic sentiment, fluctuations in this exchange rate are pivotal in understanding investor sentiment, capital flows, and market dynamics in the region. Managed against a basket of currencies by the Monetary Authority of Singapore, changes in the exchange rate also signal shifts in monetary policy, impacting inflation, interest rates, and overall economic conditions. Given Singapore's export-driven economy, movements in the exchange rate directly affect the competitiveness of its exports in global markets, while also serving as a barometer for regional economic trends within the Asia-Pacific region, making it a crucial metric for economic analysis and decision-making.

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Automated Data Profiling

Ready Signal automatically profiles each data set and offers up suggested industry standard data science treatments to utilize with these data in your models.

Suggested Treatment:

The data shows auto correlation and a non-normal distribution. The data should be differenced. While the Order Norm transformation, provides the best normality, the Yeo Johnson variable will also perform well.

Grain Transformation:

Data is unable to be distributed by time or geography. The roll up method used is Weighted Average.

Auto Correlation Analysis:

Data shows auto correlation indicating a need for differencing

The ACF indicates 1 order differencing is appropriate.

Following first order differencing, no further differencing is required based on the differenced ACF at lag one of -0.03

Trend Analysis:

The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 3.97 p-value = 0.01 indicates that the data is not stationary.

Distribution Analysis:

The Shapiro-Wilk test returned W = 0.94 with a p-value =0.00 indicating the data does not follow a normal distribution.

A skewness score of -0.53 indicates the data are moderately skewed.

Hartigan's dip test score of 0.04 with a p-value of 0.00 inidcates the data is multimodal

Statistics (Pearson P/ df, lower => more normal)

No transform

29.20

Box-cox

7.20

Log_b(x-a)

8.14

sqrt(x+a)

7.87

exp(x)

7.07

arcsinh(x)

7.95

Yeo-Johnson

6.79

OrderNorm

1.10

Auto Correlation Function

Auto Correlation Function After Differencing

Partial Auto Correlation Function

Seasonal Impact

Seasonal and Trend Decompostion

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