Poisson distribution and Positive yield curve: Difference between pages

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imported>Doug Williamson
(Add 'with no upper limit' to differentiate from binomial distribution.)
 
imported>Doug Williamson
m (Categorise.)
 
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<i>Statistics</i>.
This means that prevailing market yields are higher for longer maturities.  


A probability model used where discrete events occur in a continuum.


For example, the number of phone calls received in a given time period.
Also known as a 'rising yield curve' or a 'normal yield curve'.




The Poisson distribution can be a useful model for processes where:
== See also ==
#Continuous observation is needed, rather than a number of independent trials.
* [[Falling yield curve]]
#The random variable takes a positive whole number (integer) value, with no upper limit.
* [[Flat yield curve]]
#The expected number of occurrences is known or can be estimated, and
* [[Forward yield]]
#Primary interest is in the number of times an event occurs within a particular period.
* [[Negative yield curve]]
* [[Par yield]]
* [[Rising yield curve]]
* [[Yield curve]]
* [[Zero coupon yield]]


 
[[Category:The_business_context]]
== See also ==
[[Category:Long_term_funding]]
* [[Discrete random variable]]
[[Category:Cash_management]]
* [[Binomial distribution]]
[[Category:Financial_products_and_markets]]
* [[Frequency distribution]]
[[Category:Liquidity_management]]
* [[Probability]]

Latest revision as of 13:35, 16 June 2020

This means that prevailing market yields are higher for longer maturities.


Also known as a 'rising yield curve' or a 'normal yield curve'.


See also