RTP and Random walk: Difference between pages

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imported>Doug Williamson
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imported>Doug Williamson
(Layout.)
 
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1. ''US''.
1.


The Real-Time Payments system, launched in 2017.
In relation to traded asset prices, a situation in which the price change in successive time periods is uncorrelated with previous time periods. 
In other words, the correlation coefficient between successive periods' price movements is zero.




2. ''Cash management.''
Therefore:


Request to pay.
(i) Future price changes cannot be predicted from the historical price record.  


(ii) Assuming constant volatility in all relevant periods, the relevant measure of the standard deviation of the market price increases with the square root of the relative time period. For example the 9-month standard deviation would be expected to be three times ( = square root of 9) times as great as the one-month standard deviation.


== See also ==
* [[BACS]]
* [[Cash management]]
* [[C&CCC]]
* [[Clearing House Automated Payment System]]
* [[CPA]]
* [[Electronic commerce]]
* [[ERPS]]
* [[Faster Payments Service]]
* [[Immediate payments and the impact on corporate treasurers]]
* [[IMPS]]
* [[LVPS]]
* [[NPP]]
* [[Payments and payment systems]]
* [[PSP]]
* [[Real-time Payments]]
* [[Request to Pay]]
* [[Single Euro Payments Area]]  (SEPA)


2.
A similar pattern of change over time in any other data series.   


==Other resource==
[http://www.treasurers.org/node/2932 UK Faster Payments Service, ACT Briefing note, 2008]


[[Category:Cash_management]]
== See also ==
* [[Correlation coefficient]]
* [[Efficient market hypothesis]]
* [[Fundamental analysis]]
* [[Mean reversion]]
* [[Technical analysis]]
* [[Trend]]
* [[Volatility]]
* [[Volatility smile]]

Revision as of 22:41, 6 January 2021

1.

In relation to traded asset prices, a situation in which the price change in successive time periods is uncorrelated with previous time periods. In other words, the correlation coefficient between successive periods' price movements is zero.


Therefore:

(i) Future price changes cannot be predicted from the historical price record.

(ii) Assuming constant volatility in all relevant periods, the relevant measure of the standard deviation of the market price increases with the square root of the relative time period. For example the 9-month standard deviation would be expected to be three times ( = square root of 9) times as great as the one-month standard deviation.


2.

A similar pattern of change over time in any other data series.


See also