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It is so far above the extrapolated trendline due to the government stimulus in 2020, 2021, and part of 2022 (QE was still happening in 2022) that the economy has remained supported, the consumer ...
Delivery of price data from exchanges to users is highly time-sensitive. Specialized software and hardware systems called ticker plants are designed to handle collection and throughput of massive data streams, displaying prices for traders and feeding computerized trading systems fast enough to capture opportunities before markets change.
The economic data have been volatile, and the Fed's reaction function has been different. That has made it hard for analysts (and the Fed) to figure out market moves. This chart illustrates one of ...
In these charts, top Wall Street ... according to some market data. And a resilient economy continues to straddle the fine line between normalization from pre-pandemic trends and the start of a ...
By selling these data points to external users (particularly advertisers), it has become an economic mechanism. The combination of the analysis of massive data sets and the use of these data sets as a market mechanism has shaped the concept of surveillance capitalism. Surveillance capitalism has been heralded as the successor to neoliberalism.
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. The data may also be collected from sensors in the environment, including traffic cameras, satellites, recording devices, etc.
Economic impact analyses usually employ one of two methods for determining impacts. The first is an input-output model (I/O model) for analyzing the regional economy. These models rely on inter-industry data to determine how effects in one industry will impact other sectors. In addition, I/O models also estimate the share of each industry's ...
In these cases, nowcasting such indicators can provide an estimate of the variables before the true data are known. Nowcasting models have been applied most notably in Central Banks , who use the estimates to monitor the state of the economy in real-time as a proxy for official measures.
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