Beta becomes a less valuable measure of volatility if calculation methodology does not match investor needs, if correlation to the benchmark index is low or
if tail events are incorrectly included or excluded from calculation.
Not exact matches
Consider this... a person goes to college, gets a four year degree in archaeology (or some antiquities preservation analog); spends summers sifting through sand and rock and gravel, all the while taking graduate level classes... person eventually obtains the vaunted PhD in archaeology... then works his / her
tail off seeking funding for an archeological excavation, with the payoff being more funding, and more opportunities to dig in the dirt... do you think professional archaeologists are looking hard for evidence of the Exodus on a speculative basis... not a chance... they know their PhD buys them nothing more than a job at Tel Aviv Walmart
if they don't discover and publish... so they write grants for digs near established sites / communities, and stay employed sifting rock in culturally safe areas... not unless some shepard stumbles upon a rare find in an unexpected place do you get archeological interest and action in remote places... not at all surprising that the pottery and other evidence of the Exodus and other biblical
events lie waiting to be discovered... doesn't mean not there... just not found yet...
And
if an
event can be defined by four numbers, then a series of
events can be defined by a series of such numbers, trailing one another like elephants marching trunk to
tail.
If Spitznagel's thesis is correct that the frequency and magnitude of
tail events increases with overvaluation, investors need to exercise caution given the extreme level of the equity q ratio.
If your dog responds to a situation with a fearful response (such as
tail tucked, hunching over, not wanting to move) then stop the
event.
The pet's
tail must be docked
if you want the dog to compete of shows of ANKC, NZKC, AKC, CKC or UKC Conformation
Event.
If you're looking for a new dog or cat, KTLA is supporting the Best Friends LA's NKLA Super Adoption
Event on May 19 & 20, with participation by Liberté Chan's Sweat with Soul, Kacey Montoya's Fix «N Fidos, and Lisa Wiehebrink's
Tails That Teach.
If you would like to request a visit from Tail Waggin», please contact Denise Trevino, Tail Waggin» Manager by e-mail at
[email protected] and help us determine if our pets would be a good fit at your event or busines
If you would like to request a visit from
Tail Waggin», please contact Denise Trevino,
Tail Waggin» Manager by e-mail at
[email protected] and help us determine
if our pets would be a good fit at your event or busines
if our pets would be a good fit at your
event or business.
I even took BHRR's Rain to the Take The Plunge
Event for the Sunday and she has gone from taking a long time with lots of treats to feel «safe» with people; to now sometimes wanting to bark, lunge and wag that
tail furiously *
if * she does not get her way to greet other dogs and people.
If a similar mean is employed, then the increase in 2 - sigma
events on the one
tail will exceed the decrease in 2 - sigma
events on the opposing
tail.
Imagine, say, a bell - shaped curve based on the null hypothesis that climate change is not happening (and not having an impact on increasing extreme weather
events), and there is this really long
tail out to infinity; and supposing we get an off - the - charts category 7 hurricane in January, we still can not attribute it or its extra intensity or unusual seasonality to climate change, even
if there is only a one in kazillion chance it might occur without climate change having an effect — that is, it is way out there in the very tiny
tail of this null hypothesis curve that fades out into infinity — the
tail that says, afterall, anything's possible.
But
if you impose a forcing (AGW) which changes the degree of independence, making the
tails fatter / less Gaussian, doesn't that mean the forcing ACTUALLY makes the probability of what were once 3,4,5 sigma
events MUCH higher than indicated by tamino's method of analysis, which removes these effects?
This is how I understand it (correct me
if I am wrong): It's like with increasing GHGs in the atmosphere the dice are increasing loaded for such record - breaking
events, but under the null hypothesis (that increasing GHGs have no effect) there is this very long long
tail of possibility.
If you then have evidence that includes (1) a shift in the central tendency and (2) increasingly frequent observations of
events going over x sigma, over some decent sample of space or time or both and based on the best estimated shape of the original distribution, then it is at the very least, reasonable to assume that the former
tails have shifted + / - in concert with the rest of the distribution; that is to say, the entire original distribution has shifted.
If you have struggles with daily life functioning, unorganized thought processes, and traumatic
events that have happened in your life and feel like a dog chasing his
tail, I would like to help or help you find the help needed.