差价合约(CFD)是复杂的工具,由于杠杆作用,存在快速亏损的高风险。81.1% 的散户投资者在于该提供商进行差价合约交易时账户亏损。 您应该考虑自己是否了解差价合约的原理,以及是否有承受资金损失的高风险的能力。
PMIs are released for the majority of major global economies, with separate surveys covering the manufacturing, services, and construction sectors, in addition to an overall composite gauge measuring output across the economy in its entirety. The data is typically collected S&P Global (previously IHS Markit) and released in two tranches on a monthly basis; a ‘flash’ estimate figure released towards the end of the reference month containing responses from around 85% of the survey pool, before a ‘final’ figure is released at the start of the month following the reference month using responses from the full survey pool. Typically, S&P release ‘final’ manufacturing data on the first day of the month, with the services survey following on the third trading day of the month.
In the US, the ISM PMI (which is calculated in the same manner, albeit using a slightly different sample) is the most closely watched gauge. The ISM do not release ‘flash’ estimates, with their release pattern typically following that of the ‘final’ S&P figures.
The PMI is a diffusion index ranging between 0-100, measuring the month-on-month change in economic conditions. Whereby a reading of 50.0 indicates precisely unchanged conditions, a reading above 50.0 suggests an improvement, and a reading below 50.0 suggests a decline in the metric in question. In order to produce the index, the following formula is used:
PMI = ('% reporting improvement') + (0.5 x ‘% reporting unchanged’) + (0.0 * ‘% reporting decrease’)
Note, the PMI figure is a seasonally adjusted metric. It is therefore, technically, and theoretically, possible for the index to read above 100, or below 0. This would require 100% of respondents to report an improvement, or a deterioration, respectively in a given month, and for the seasonal adjustment factor to then push the data beyond one of these boundaries. This is an extremely unlikely, but plausible, scenario.
Furthermore, it is important to consider how PMI surveys should be interpreted:
While it is the headline metric that attracts most attention, and has the most significant impact on financial markets upon release, the PMI surveys released by both S&P Global and the ISM also contain a number of useful sub-indices, the most important of which are:
All of these sub-indices are calculated in the same way as the headline gauge, with 50.0 again representing the breakeven mark between an MoM increase or decrease.