Change in the price of services purchased by corporations. It's a leading indicator of consumer inflation - when corporations pay more for services the higher costs are usually passed on to the consumer.
The German group GfK uses this report to show the results of their survey on business consumer confidence in order to gauge the health of the German economy. It is a leading indicator of economic strength.
The Gross Domestic Product is a comprehensive measure of an overall production and consumption of goods and services. GDP serves as one of the primary measures of overall economic well-being. While GDP announcements generally conform to expectations, unanticipated changes in this metric can move markets.
Robust GDP growth signals a heightened level of economic activity and often a higher demand for the domestic currency. At the same time, economic expansion raises concerns about inflationary pressures which may lead monetary authorities to increase interest rates. Thus better than expected GDP figures are generally bullish for the Euro, while negative readings are generally bearish.
Technically, Gross Domestic Product is calculated in the following way:
GDP = C + I + G + (EX - IM)
C = private consumption, I = private investment, G = government expenditure, EX = exports of goods and services, IM = imports of goods and services.
French GDP figures, officially called Quarterly National Accounts, are released quarterly. The headline figures are annualized percentage changes in real and nominal GDP.
Charles L. Evans is the ninth President and chief executive officer of the Federal Reserve Bank of Chicago. In that capacity, he serves on the Federal Open Market Committee (FOMC), the Federal Reserve System's monetary policy-making body.
The number of new building projects authorized for construction. The figure is widely used as an indicator for developments in the housing market, since receiving a permit to build is the first step in the construction process. Thus growth in Building Permits reflects growth in the construction sector. Also, due to the high outlays needed for construction projects, an increase in Building Permits suggests corporate and consumer optimism. Additionally, because leading indicators for the housing market respond quickly to changes in the business cycle, the Building Permit figure can act as a leading indicator for the economy as a whole.
The headline is the seasonally adjusted percentage change in Building Permits from the previous month.
Gauges the change in the number of new houses built in the United States. Housing Starts are one of the earliest indicators of the housing market, only trailing Building Permits in timeliness.
Because high outlays are needed to start construction projects, an increase in Housing Starts implies an increase in investment and business optimism. Finally, the Housing Starts figure gives insight into consumer activity, since new home purchases typically require a large investment for consumers. Given such connections to consumer and corporate sentiment, real estate generally leads economic developments. A sharp drop in new home construction is a warning signal of economic slowdown. Conversely, a rebound in the Housing Starts paves the way for economic recovery.
Housing Starts data is differentiated by building types (single family houses, 2 to 4 residence units and 5 or more residence units). The single family housing starts is a more reliable economic indicator than multi family housing starts, as single family house building is driven by demand and consumer confidence, whereas multi family house building is more often motivated by speculative real estate investors. The report headline is expressed in volume of houses built. The figures are in the thousands of units.
A resumptive index of house prices reflecting prices for new constructions and resale real estate markets. As all indices connected with the construction industry it can be seasonally adjusted.
Assessment of consumer sentiment regarding business conditions, employment and personal income. Based on a representative sample of thousands of mail-in surveys, the Conference Board index has the largest pooling sample of any US measure of consumer confidence. Consumer Confidence levels are generally linked with consumer spending. For instance, when consumer confidence is on the rise consumer spending tends to increase. Low or falling consumer confidence on the other hand is typically associated with decreased spending and consumer demand.
Some analysts criticize the Consumer Confidence figure for its volatile tendencies and weak connection to household expenditure, turning instead to the University of Michigan Consumer Confidence numbers. The volatility of the Consumer Confidence figure is attributed to two factors: its pooling size and the survey time frame focus. The Conference Board surveys an entirely new group of people each month, resulting in more erratic month to month figures. Additionally, the survey queries respondents on expectations for the following six months, a relatively short term evaluation. Conversely, the University of Michigan survey will re-poll many individuals and focuses on expectations for the next one to five years. The long term focus has a stabilizing effect on consumer confidence.
Survey results are printed in the headlines where 100 reflects a recent base year.
Assesses regional manufacturing conditions for the Richmond Fed District. Based on mail-in surveys from a representative sample of manufacturing plants, the Richmond Fed Index seeks to track industrial performance. The report puts particular emphasis on inflationary pressures.
Though the Richmond Fed Manufacturing Survey is valued for its quick turnaround, it is still released after the ISM survey. As a result, the figure is often used to affirm or question the ISM report, and has little impact on markets. The Richmond Fed Manufacturing Survey also asks manufacturing executives to stress price expectations. Some markets participants use this data as an early gauge to CPI and PPI reports released a few days later.
The headline figure is a three-month average, calculated by finding the percentage difference between positive and negative responses for the last three months, using a zero boom/bust centerline.
Note: The survey covers such topics as shipments, order volume, backlog volume, capacity utilization, vendor lead time, employees, average workweek, wages, inventory levels, and capital expenditures. The Fifth District includes the District of Columbia , Maryland , both Carolinas, and most of the Virginias.