Proof of positive homogeneity of risk measure












2












$begingroup$


I am stuck with a proof about positive homogeneity and have tried now for several days. Hopefully someone can help me out. Thanks in advance.



I am considering a risk measure $p=(x)$, where $x$ denotes a loss. $p$ satisfies the following properties:



P1: Normalization, $p(0)=0$



P2: Cash additive, $p(x+c)=p(x)+c$



P3: Monotonic, if $x$$geq$$y$ then $p(x)$$geq$$p(y)$



P4: Convexity, if $lambdain(0,1)$ then $p(lambda$$x+(1-lambda$$y$) $leq$ $lambda$$p(x)+(1-lambda$$)p(y)$



P6: Subadditivity, $p(x+y)leq$$p(x)+p(y)$



Also, we have that $lambdain(0,1)$ and $lambdain$Q



I proved that $p(lambda$$x)leq$ $lambda$$p(x)$for $lambdain(0,1)$ and $lambdain$Q



Now, I want to prove that $p(lambda$$x)geq$ $lambda$$p(x)$ for $lambdain(0,1)$ and $lambdain$Q as well.



This should be possible using the properties above and the fact that $lambdain$Q.



Thanks for anyone who can help me with this proof.










share|cite|improve this question









$endgroup$












  • $begingroup$
    by the way $xin$ R
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 13:39










  • $begingroup$
    I guess $c$ is a fixed constant? If not with $p(c)=p(c+0)=p(0)+c=c$ and $c$ arbitrary, $p$ would be the identity.
    $endgroup$
    – humanStampedist
    Dec 6 '18 at 13:48






  • 1




    $begingroup$
    c is a fixed constant and x is some loss. the measure p(x) gives the amount of capital that you should hold to cover the loss, x.
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 15:20










  • $begingroup$
    In the second sentence it says a risk measure p = (x), this was a typo. It should be p(x)
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 15:26
















2












$begingroup$


I am stuck with a proof about positive homogeneity and have tried now for several days. Hopefully someone can help me out. Thanks in advance.



I am considering a risk measure $p=(x)$, where $x$ denotes a loss. $p$ satisfies the following properties:



P1: Normalization, $p(0)=0$



P2: Cash additive, $p(x+c)=p(x)+c$



P3: Monotonic, if $x$$geq$$y$ then $p(x)$$geq$$p(y)$



P4: Convexity, if $lambdain(0,1)$ then $p(lambda$$x+(1-lambda$$y$) $leq$ $lambda$$p(x)+(1-lambda$$)p(y)$



P6: Subadditivity, $p(x+y)leq$$p(x)+p(y)$



Also, we have that $lambdain(0,1)$ and $lambdain$Q



I proved that $p(lambda$$x)leq$ $lambda$$p(x)$for $lambdain(0,1)$ and $lambdain$Q



Now, I want to prove that $p(lambda$$x)geq$ $lambda$$p(x)$ for $lambdain(0,1)$ and $lambdain$Q as well.



This should be possible using the properties above and the fact that $lambdain$Q.



Thanks for anyone who can help me with this proof.










share|cite|improve this question









$endgroup$












  • $begingroup$
    by the way $xin$ R
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 13:39










  • $begingroup$
    I guess $c$ is a fixed constant? If not with $p(c)=p(c+0)=p(0)+c=c$ and $c$ arbitrary, $p$ would be the identity.
    $endgroup$
    – humanStampedist
    Dec 6 '18 at 13:48






  • 1




    $begingroup$
    c is a fixed constant and x is some loss. the measure p(x) gives the amount of capital that you should hold to cover the loss, x.
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 15:20










  • $begingroup$
    In the second sentence it says a risk measure p = (x), this was a typo. It should be p(x)
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 15:26














2












2








2


1



$begingroup$


I am stuck with a proof about positive homogeneity and have tried now for several days. Hopefully someone can help me out. Thanks in advance.



I am considering a risk measure $p=(x)$, where $x$ denotes a loss. $p$ satisfies the following properties:



P1: Normalization, $p(0)=0$



P2: Cash additive, $p(x+c)=p(x)+c$



P3: Monotonic, if $x$$geq$$y$ then $p(x)$$geq$$p(y)$



P4: Convexity, if $lambdain(0,1)$ then $p(lambda$$x+(1-lambda$$y$) $leq$ $lambda$$p(x)+(1-lambda$$)p(y)$



P6: Subadditivity, $p(x+y)leq$$p(x)+p(y)$



Also, we have that $lambdain(0,1)$ and $lambdain$Q



I proved that $p(lambda$$x)leq$ $lambda$$p(x)$for $lambdain(0,1)$ and $lambdain$Q



Now, I want to prove that $p(lambda$$x)geq$ $lambda$$p(x)$ for $lambdain(0,1)$ and $lambdain$Q as well.



This should be possible using the properties above and the fact that $lambdain$Q.



Thanks for anyone who can help me with this proof.










share|cite|improve this question









$endgroup$




I am stuck with a proof about positive homogeneity and have tried now for several days. Hopefully someone can help me out. Thanks in advance.



I am considering a risk measure $p=(x)$, where $x$ denotes a loss. $p$ satisfies the following properties:



P1: Normalization, $p(0)=0$



P2: Cash additive, $p(x+c)=p(x)+c$



P3: Monotonic, if $x$$geq$$y$ then $p(x)$$geq$$p(y)$



P4: Convexity, if $lambdain(0,1)$ then $p(lambda$$x+(1-lambda$$y$) $leq$ $lambda$$p(x)+(1-lambda$$)p(y)$



P6: Subadditivity, $p(x+y)leq$$p(x)+p(y)$



Also, we have that $lambdain(0,1)$ and $lambdain$Q



I proved that $p(lambda$$x)leq$ $lambda$$p(x)$for $lambdain(0,1)$ and $lambdain$Q



Now, I want to prove that $p(lambda$$x)geq$ $lambda$$p(x)$ for $lambdain(0,1)$ and $lambdain$Q as well.



This should be possible using the properties above and the fact that $lambdain$Q.



Thanks for anyone who can help me with this proof.







measure-theory convex-analysis






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asked Dec 6 '18 at 13:31









René WijnenRené Wijnen

112




112












  • $begingroup$
    by the way $xin$ R
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 13:39










  • $begingroup$
    I guess $c$ is a fixed constant? If not with $p(c)=p(c+0)=p(0)+c=c$ and $c$ arbitrary, $p$ would be the identity.
    $endgroup$
    – humanStampedist
    Dec 6 '18 at 13:48






  • 1




    $begingroup$
    c is a fixed constant and x is some loss. the measure p(x) gives the amount of capital that you should hold to cover the loss, x.
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 15:20










  • $begingroup$
    In the second sentence it says a risk measure p = (x), this was a typo. It should be p(x)
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 15:26


















  • $begingroup$
    by the way $xin$ R
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 13:39










  • $begingroup$
    I guess $c$ is a fixed constant? If not with $p(c)=p(c+0)=p(0)+c=c$ and $c$ arbitrary, $p$ would be the identity.
    $endgroup$
    – humanStampedist
    Dec 6 '18 at 13:48






  • 1




    $begingroup$
    c is a fixed constant and x is some loss. the measure p(x) gives the amount of capital that you should hold to cover the loss, x.
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 15:20










  • $begingroup$
    In the second sentence it says a risk measure p = (x), this was a typo. It should be p(x)
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 15:26
















$begingroup$
by the way $xin$ R
$endgroup$
– René Wijnen
Dec 6 '18 at 13:39




$begingroup$
by the way $xin$ R
$endgroup$
– René Wijnen
Dec 6 '18 at 13:39












$begingroup$
I guess $c$ is a fixed constant? If not with $p(c)=p(c+0)=p(0)+c=c$ and $c$ arbitrary, $p$ would be the identity.
$endgroup$
– humanStampedist
Dec 6 '18 at 13:48




$begingroup$
I guess $c$ is a fixed constant? If not with $p(c)=p(c+0)=p(0)+c=c$ and $c$ arbitrary, $p$ would be the identity.
$endgroup$
– humanStampedist
Dec 6 '18 at 13:48




1




1




$begingroup$
c is a fixed constant and x is some loss. the measure p(x) gives the amount of capital that you should hold to cover the loss, x.
$endgroup$
– René Wijnen
Dec 6 '18 at 15:20




$begingroup$
c is a fixed constant and x is some loss. the measure p(x) gives the amount of capital that you should hold to cover the loss, x.
$endgroup$
– René Wijnen
Dec 6 '18 at 15:20












$begingroup$
In the second sentence it says a risk measure p = (x), this was a typo. It should be p(x)
$endgroup$
– René Wijnen
Dec 6 '18 at 15:26




$begingroup$
In the second sentence it says a risk measure p = (x), this was a typo. It should be p(x)
$endgroup$
– René Wijnen
Dec 6 '18 at 15:26










1 Answer
1






active

oldest

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0












$begingroup$

From P1 and P2 it follows that
$$
p(y) = p(0+y) = p(0)+y = 0+y = y
$$

has to be true for all $yinmathbb R$.



Now that you know the value of $p$ for all inputs, it is easy to see that
$$p(lambda x) = lambda x = lambda p(x)$$
has to hold for all $lambdain(0,1), xin mathbb Q$.






share|cite|improve this answer









$endgroup$













  • $begingroup$
    I noticed that I forgot to mention that P2 only holds for some constant c, my apologies. P2 does not apply for the variable x in the way you suggest in the answer above.
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 15:23













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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









0












$begingroup$

From P1 and P2 it follows that
$$
p(y) = p(0+y) = p(0)+y = 0+y = y
$$

has to be true for all $yinmathbb R$.



Now that you know the value of $p$ for all inputs, it is easy to see that
$$p(lambda x) = lambda x = lambda p(x)$$
has to hold for all $lambdain(0,1), xin mathbb Q$.






share|cite|improve this answer









$endgroup$













  • $begingroup$
    I noticed that I forgot to mention that P2 only holds for some constant c, my apologies. P2 does not apply for the variable x in the way you suggest in the answer above.
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 15:23


















0












$begingroup$

From P1 and P2 it follows that
$$
p(y) = p(0+y) = p(0)+y = 0+y = y
$$

has to be true for all $yinmathbb R$.



Now that you know the value of $p$ for all inputs, it is easy to see that
$$p(lambda x) = lambda x = lambda p(x)$$
has to hold for all $lambdain(0,1), xin mathbb Q$.






share|cite|improve this answer









$endgroup$













  • $begingroup$
    I noticed that I forgot to mention that P2 only holds for some constant c, my apologies. P2 does not apply for the variable x in the way you suggest in the answer above.
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 15:23
















0












0








0





$begingroup$

From P1 and P2 it follows that
$$
p(y) = p(0+y) = p(0)+y = 0+y = y
$$

has to be true for all $yinmathbb R$.



Now that you know the value of $p$ for all inputs, it is easy to see that
$$p(lambda x) = lambda x = lambda p(x)$$
has to hold for all $lambdain(0,1), xin mathbb Q$.






share|cite|improve this answer









$endgroup$



From P1 and P2 it follows that
$$
p(y) = p(0+y) = p(0)+y = 0+y = y
$$

has to be true for all $yinmathbb R$.



Now that you know the value of $p$ for all inputs, it is easy to see that
$$p(lambda x) = lambda x = lambda p(x)$$
has to hold for all $lambdain(0,1), xin mathbb Q$.







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered Dec 6 '18 at 13:49









supinfsupinf

6,1391028




6,1391028












  • $begingroup$
    I noticed that I forgot to mention that P2 only holds for some constant c, my apologies. P2 does not apply for the variable x in the way you suggest in the answer above.
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 15:23




















  • $begingroup$
    I noticed that I forgot to mention that P2 only holds for some constant c, my apologies. P2 does not apply for the variable x in the way you suggest in the answer above.
    $endgroup$
    – René Wijnen
    Dec 6 '18 at 15:23


















$begingroup$
I noticed that I forgot to mention that P2 only holds for some constant c, my apologies. P2 does not apply for the variable x in the way you suggest in the answer above.
$endgroup$
– René Wijnen
Dec 6 '18 at 15:23






$begingroup$
I noticed that I forgot to mention that P2 only holds for some constant c, my apologies. P2 does not apply for the variable x in the way you suggest in the answer above.
$endgroup$
– René Wijnen
Dec 6 '18 at 15:23




















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