Last year, COVID-19 changed the economy so fast that economists needed a different kind of data to help them understand it. Monthly indicators based on government survey data that take weeks to ...

For a long time, ever since financial institutions adopted technology, there has been a race to become a data warehouse of information. Let's take a look at how this applies in terms of high-frequency ...

In various industries and applications, it’s crucial to monitor the current and frequency of devices in real-time. These ...

Data sprawl has forced organizations to invest in more data security resources, and is drastically inflating data backup ...

When it comes to forecasting long-horizon volatility, multistep-ahead iterated forecasts using higher-frequency data can be more efficient than one-step-ahead direct forecasts using lower-frequency ...

Quartiles are the values that divide a data set into quarters: Put the values in order Divide the list into four equal parts The Quartiles are at the divisions The interquartile range shows the range ...