Showing that a market model has arbitrage and describing martingales
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This is an exercise which I came upon while studying an introduction to financial mathematics.
Exercise :
Consider the finite sample space $Omega = omega_1,omega_2,omega_3$ and let $mathbb P$ be a probability measure such that $mathbb P[omega_1] > 0$ for all $i=1,2,3$. We define a financial market of one period which is consisted by the probability space $(Omega,mathcalF,mathbb P)$ with $mathcalF := 2^Omega$ and the securities $barS = (S^0,S^1,S^2)$ which are consisted of the zero-risk security $S^0$ and two securities $S^1,S^2$ which have risk. Their values at the time $t=0$ are given by the vector
$$barS_0 = beginpmatrix 1\2\7 endpmatrix$$
while their values at time $t=1$, depending whether the scenario $omega_1,omega_2$ or $omega_3$ happens, are given by the vectors
$$barS_1(omega_1) = beginpmatrix 1\3\9endpmatrix, quad barS_1(omega_2) = beginpmatrix 1\1\5endpmatrix, quad barS_1(omega_3) = beginpmatrix 1\5\10 endpmatrix$$
(a) Show that this financial market has arbitrage.
(b) Let $S_1^2(omega_3) = 13$ while the other values remain the same as before. Show that this financial market does not have arbitrage and describe all the equivalent martingale measures.
Attempt :
(a) We have that a value process is defined as :
$$V_t = V_t^barxi = barxicdot barS_t = sum_i=0^d xi_t^icdot barS_t^i, quad t in 0,1$$
where $xi = (xi^0, xi) in mathbb R^d+1$ is an investment strategy where the number $xi^i$ is equal to the number of pieces from the security $S^i$ which are contained in the portfolio at the time period $[0,1], i in 0,1,dots,d$.
Now, I also know that to show that a market has arbitrage, I need to show the following :
$$V_0 leq 0, quad mathbb P(V1 geq 0) = 1, quad mathbb P(V_1 > 0) > 0$$
I understand that the different $S$ vectors will be plugged in to calculate $V_t$ but I really can't comprehend $xi$. What would the $xi$ vector be ?
Any help for me to understand what $xi$ really is based on the problem and how to complete my attempt will be much appreciated.
For (b), showing that it does not have arbitrage is similar to (a) as I will just show that one of these conditions will not hold. What about the martingale stuff though ? It's a mathematical substance we really haven't been into so, if possible, I would really appreciate an elaborations.
stochastic-processes arbitrage finance-mathematics martingale no-arbitrage-theory
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add a comment |
up vote
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This is an exercise which I came upon while studying an introduction to financial mathematics.
Exercise :
Consider the finite sample space $Omega = omega_1,omega_2,omega_3$ and let $mathbb P$ be a probability measure such that $mathbb P[omega_1] > 0$ for all $i=1,2,3$. We define a financial market of one period which is consisted by the probability space $(Omega,mathcalF,mathbb P)$ with $mathcalF := 2^Omega$ and the securities $barS = (S^0,S^1,S^2)$ which are consisted of the zero-risk security $S^0$ and two securities $S^1,S^2$ which have risk. Their values at the time $t=0$ are given by the vector
$$barS_0 = beginpmatrix 1\2\7 endpmatrix$$
while their values at time $t=1$, depending whether the scenario $omega_1,omega_2$ or $omega_3$ happens, are given by the vectors
$$barS_1(omega_1) = beginpmatrix 1\3\9endpmatrix, quad barS_1(omega_2) = beginpmatrix 1\1\5endpmatrix, quad barS_1(omega_3) = beginpmatrix 1\5\10 endpmatrix$$
(a) Show that this financial market has arbitrage.
(b) Let $S_1^2(omega_3) = 13$ while the other values remain the same as before. Show that this financial market does not have arbitrage and describe all the equivalent martingale measures.
Attempt :
(a) We have that a value process is defined as :
$$V_t = V_t^barxi = barxicdot barS_t = sum_i=0^d xi_t^icdot barS_t^i, quad t in 0,1$$
where $xi = (xi^0, xi) in mathbb R^d+1$ is an investment strategy where the number $xi^i$ is equal to the number of pieces from the security $S^i$ which are contained in the portfolio at the time period $[0,1], i in 0,1,dots,d$.
Now, I also know that to show that a market has arbitrage, I need to show the following :
$$V_0 leq 0, quad mathbb P(V1 geq 0) = 1, quad mathbb P(V_1 > 0) > 0$$
I understand that the different $S$ vectors will be plugged in to calculate $V_t$ but I really can't comprehend $xi$. What would the $xi$ vector be ?
Any help for me to understand what $xi$ really is based on the problem and how to complete my attempt will be much appreciated.
For (b), showing that it does not have arbitrage is similar to (a) as I will just show that one of these conditions will not hold. What about the martingale stuff though ? It's a mathematical substance we really haven't been into so, if possible, I would really appreciate an elaborations.
stochastic-processes arbitrage finance-mathematics martingale no-arbitrage-theory
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add a comment |
up vote
2
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up vote
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down vote
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This is an exercise which I came upon while studying an introduction to financial mathematics.
Exercise :
Consider the finite sample space $Omega = omega_1,omega_2,omega_3$ and let $mathbb P$ be a probability measure such that $mathbb P[omega_1] > 0$ for all $i=1,2,3$. We define a financial market of one period which is consisted by the probability space $(Omega,mathcalF,mathbb P)$ with $mathcalF := 2^Omega$ and the securities $barS = (S^0,S^1,S^2)$ which are consisted of the zero-risk security $S^0$ and two securities $S^1,S^2$ which have risk. Their values at the time $t=0$ are given by the vector
$$barS_0 = beginpmatrix 1\2\7 endpmatrix$$
while their values at time $t=1$, depending whether the scenario $omega_1,omega_2$ or $omega_3$ happens, are given by the vectors
$$barS_1(omega_1) = beginpmatrix 1\3\9endpmatrix, quad barS_1(omega_2) = beginpmatrix 1\1\5endpmatrix, quad barS_1(omega_3) = beginpmatrix 1\5\10 endpmatrix$$
(a) Show that this financial market has arbitrage.
(b) Let $S_1^2(omega_3) = 13$ while the other values remain the same as before. Show that this financial market does not have arbitrage and describe all the equivalent martingale measures.
Attempt :
(a) We have that a value process is defined as :
$$V_t = V_t^barxi = barxicdot barS_t = sum_i=0^d xi_t^icdot barS_t^i, quad t in 0,1$$
where $xi = (xi^0, xi) in mathbb R^d+1$ is an investment strategy where the number $xi^i$ is equal to the number of pieces from the security $S^i$ which are contained in the portfolio at the time period $[0,1], i in 0,1,dots,d$.
Now, I also know that to show that a market has arbitrage, I need to show the following :
$$V_0 leq 0, quad mathbb P(V1 geq 0) = 1, quad mathbb P(V_1 > 0) > 0$$
I understand that the different $S$ vectors will be plugged in to calculate $V_t$ but I really can't comprehend $xi$. What would the $xi$ vector be ?
Any help for me to understand what $xi$ really is based on the problem and how to complete my attempt will be much appreciated.
For (b), showing that it does not have arbitrage is similar to (a) as I will just show that one of these conditions will not hold. What about the martingale stuff though ? It's a mathematical substance we really haven't been into so, if possible, I would really appreciate an elaborations.
stochastic-processes arbitrage finance-mathematics martingale no-arbitrage-theory
New contributor
This is an exercise which I came upon while studying an introduction to financial mathematics.
Exercise :
Consider the finite sample space $Omega = omega_1,omega_2,omega_3$ and let $mathbb P$ be a probability measure such that $mathbb P[omega_1] > 0$ for all $i=1,2,3$. We define a financial market of one period which is consisted by the probability space $(Omega,mathcalF,mathbb P)$ with $mathcalF := 2^Omega$ and the securities $barS = (S^0,S^1,S^2)$ which are consisted of the zero-risk security $S^0$ and two securities $S^1,S^2$ which have risk. Their values at the time $t=0$ are given by the vector
$$barS_0 = beginpmatrix 1\2\7 endpmatrix$$
while their values at time $t=1$, depending whether the scenario $omega_1,omega_2$ or $omega_3$ happens, are given by the vectors
$$barS_1(omega_1) = beginpmatrix 1\3\9endpmatrix, quad barS_1(omega_2) = beginpmatrix 1\1\5endpmatrix, quad barS_1(omega_3) = beginpmatrix 1\5\10 endpmatrix$$
(a) Show that this financial market has arbitrage.
(b) Let $S_1^2(omega_3) = 13$ while the other values remain the same as before. Show that this financial market does not have arbitrage and describe all the equivalent martingale measures.
Attempt :
(a) We have that a value process is defined as :
$$V_t = V_t^barxi = barxicdot barS_t = sum_i=0^d xi_t^icdot barS_t^i, quad t in 0,1$$
where $xi = (xi^0, xi) in mathbb R^d+1$ is an investment strategy where the number $xi^i$ is equal to the number of pieces from the security $S^i$ which are contained in the portfolio at the time period $[0,1], i in 0,1,dots,d$.
Now, I also know that to show that a market has arbitrage, I need to show the following :
$$V_0 leq 0, quad mathbb P(V1 geq 0) = 1, quad mathbb P(V_1 > 0) > 0$$
I understand that the different $S$ vectors will be plugged in to calculate $V_t$ but I really can't comprehend $xi$. What would the $xi$ vector be ?
Any help for me to understand what $xi$ really is based on the problem and how to complete my attempt will be much appreciated.
For (b), showing that it does not have arbitrage is similar to (a) as I will just show that one of these conditions will not hold. What about the martingale stuff though ? It's a mathematical substance we really haven't been into so, if possible, I would really appreciate an elaborations.
stochastic-processes arbitrage finance-mathematics martingale no-arbitrage-theory
stochastic-processes arbitrage finance-mathematics martingale no-arbitrage-theory
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asked 11 hours ago
Rebellos
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The parameter $xi$ represents your strategy, namely the quantity you hold in your portfolio of each security $S^0$, $S^1$ and $S^2$. Consider the following strategy:
$$xi=(xi^1,xi^2,xi^3)=(1.5,1,-0.5)$$
Then:
$$beginalign
& t=0: && xibarS_0=xi^0S_0^0+xi^1S_0^1+xi^2S_0^2 = 1.5+2-3.5=0
\
& t=1: && xibarS_1(omega_1)=1.5+3-4.5=0
\
&&& xibarS_1(omega_2)=1.5+1-2.5=0
\
&&& xibarS_1(omega_3)=1.5+5-5=1.5>0
endalign$$
Thus:
$$xibarS_0=0, quad mathbbP(xibarS_1geq0)=1, quad mathbbP(xibarS_1>0)>0$$
Hence the market has arbitrage.
For question b), you need to generalize to prove that there is no portfolio $xi$ that allows arbitrage (instead of just finding a counterexample as in a).
Hello, why is it legit to just take a random $xi$ and show the conditions ? Wouldn't the $xi$ need to be derived from the exercise ? I'm asking because I'm a true beginner at this lesson. Also, for the martingale stuff, what is needed ?
– Rebellos
8 hours ago
It is not a random $xi$, it is the product of careful thought by someone who knew what he was looking for. You have to construct $xi$, and there is a logic to it.
– Alex C
6 hours ago
@Rebellos I Iooked at the relative prices $S^1/S^2$ and $S^2/S^1$ and noticed that $S_1^1(omega_1)/S_1^2(omega_1), S_1^1(omega_3)/S_1^2(omega_3)>S_0^1/S_0^2$ whereas only $S_1^2(omega_2)/S_1^1(omega_2)>S_0^2/S_0^1$ so I tried to come up with an arbitrage portfolio long the security most expected to increase relatively, namely $S^1$.
– Daneel Olivaw
6 hours ago
Thanks for your reply, I get it now! Finally, that martingale stuff, what does it want me to do?
– Rebellos
6 hours ago
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
2
down vote
The parameter $xi$ represents your strategy, namely the quantity you hold in your portfolio of each security $S^0$, $S^1$ and $S^2$. Consider the following strategy:
$$xi=(xi^1,xi^2,xi^3)=(1.5,1,-0.5)$$
Then:
$$beginalign
& t=0: && xibarS_0=xi^0S_0^0+xi^1S_0^1+xi^2S_0^2 = 1.5+2-3.5=0
\
& t=1: && xibarS_1(omega_1)=1.5+3-4.5=0
\
&&& xibarS_1(omega_2)=1.5+1-2.5=0
\
&&& xibarS_1(omega_3)=1.5+5-5=1.5>0
endalign$$
Thus:
$$xibarS_0=0, quad mathbbP(xibarS_1geq0)=1, quad mathbbP(xibarS_1>0)>0$$
Hence the market has arbitrage.
For question b), you need to generalize to prove that there is no portfolio $xi$ that allows arbitrage (instead of just finding a counterexample as in a).
Hello, why is it legit to just take a random $xi$ and show the conditions ? Wouldn't the $xi$ need to be derived from the exercise ? I'm asking because I'm a true beginner at this lesson. Also, for the martingale stuff, what is needed ?
– Rebellos
8 hours ago
It is not a random $xi$, it is the product of careful thought by someone who knew what he was looking for. You have to construct $xi$, and there is a logic to it.
– Alex C
6 hours ago
@Rebellos I Iooked at the relative prices $S^1/S^2$ and $S^2/S^1$ and noticed that $S_1^1(omega_1)/S_1^2(omega_1), S_1^1(omega_3)/S_1^2(omega_3)>S_0^1/S_0^2$ whereas only $S_1^2(omega_2)/S_1^1(omega_2)>S_0^2/S_0^1$ so I tried to come up with an arbitrage portfolio long the security most expected to increase relatively, namely $S^1$.
– Daneel Olivaw
6 hours ago
Thanks for your reply, I get it now! Finally, that martingale stuff, what does it want me to do?
– Rebellos
6 hours ago
add a comment |
up vote
2
down vote
The parameter $xi$ represents your strategy, namely the quantity you hold in your portfolio of each security $S^0$, $S^1$ and $S^2$. Consider the following strategy:
$$xi=(xi^1,xi^2,xi^3)=(1.5,1,-0.5)$$
Then:
$$beginalign
& t=0: && xibarS_0=xi^0S_0^0+xi^1S_0^1+xi^2S_0^2 = 1.5+2-3.5=0
\
& t=1: && xibarS_1(omega_1)=1.5+3-4.5=0
\
&&& xibarS_1(omega_2)=1.5+1-2.5=0
\
&&& xibarS_1(omega_3)=1.5+5-5=1.5>0
endalign$$
Thus:
$$xibarS_0=0, quad mathbbP(xibarS_1geq0)=1, quad mathbbP(xibarS_1>0)>0$$
Hence the market has arbitrage.
For question b), you need to generalize to prove that there is no portfolio $xi$ that allows arbitrage (instead of just finding a counterexample as in a).
Hello, why is it legit to just take a random $xi$ and show the conditions ? Wouldn't the $xi$ need to be derived from the exercise ? I'm asking because I'm a true beginner at this lesson. Also, for the martingale stuff, what is needed ?
– Rebellos
8 hours ago
It is not a random $xi$, it is the product of careful thought by someone who knew what he was looking for. You have to construct $xi$, and there is a logic to it.
– Alex C
6 hours ago
@Rebellos I Iooked at the relative prices $S^1/S^2$ and $S^2/S^1$ and noticed that $S_1^1(omega_1)/S_1^2(omega_1), S_1^1(omega_3)/S_1^2(omega_3)>S_0^1/S_0^2$ whereas only $S_1^2(omega_2)/S_1^1(omega_2)>S_0^2/S_0^1$ so I tried to come up with an arbitrage portfolio long the security most expected to increase relatively, namely $S^1$.
– Daneel Olivaw
6 hours ago
Thanks for your reply, I get it now! Finally, that martingale stuff, what does it want me to do?
– Rebellos
6 hours ago
add a comment |
up vote
2
down vote
up vote
2
down vote
The parameter $xi$ represents your strategy, namely the quantity you hold in your portfolio of each security $S^0$, $S^1$ and $S^2$. Consider the following strategy:
$$xi=(xi^1,xi^2,xi^3)=(1.5,1,-0.5)$$
Then:
$$beginalign
& t=0: && xibarS_0=xi^0S_0^0+xi^1S_0^1+xi^2S_0^2 = 1.5+2-3.5=0
\
& t=1: && xibarS_1(omega_1)=1.5+3-4.5=0
\
&&& xibarS_1(omega_2)=1.5+1-2.5=0
\
&&& xibarS_1(omega_3)=1.5+5-5=1.5>0
endalign$$
Thus:
$$xibarS_0=0, quad mathbbP(xibarS_1geq0)=1, quad mathbbP(xibarS_1>0)>0$$
Hence the market has arbitrage.
For question b), you need to generalize to prove that there is no portfolio $xi$ that allows arbitrage (instead of just finding a counterexample as in a).
The parameter $xi$ represents your strategy, namely the quantity you hold in your portfolio of each security $S^0$, $S^1$ and $S^2$. Consider the following strategy:
$$xi=(xi^1,xi^2,xi^3)=(1.5,1,-0.5)$$
Then:
$$beginalign
& t=0: && xibarS_0=xi^0S_0^0+xi^1S_0^1+xi^2S_0^2 = 1.5+2-3.5=0
\
& t=1: && xibarS_1(omega_1)=1.5+3-4.5=0
\
&&& xibarS_1(omega_2)=1.5+1-2.5=0
\
&&& xibarS_1(omega_3)=1.5+5-5=1.5>0
endalign$$
Thus:
$$xibarS_0=0, quad mathbbP(xibarS_1geq0)=1, quad mathbbP(xibarS_1>0)>0$$
Hence the market has arbitrage.
For question b), you need to generalize to prove that there is no portfolio $xi$ that allows arbitrage (instead of just finding a counterexample as in a).
answered 8 hours ago
Daneel Olivaw
2,7231528
2,7231528
Hello, why is it legit to just take a random $xi$ and show the conditions ? Wouldn't the $xi$ need to be derived from the exercise ? I'm asking because I'm a true beginner at this lesson. Also, for the martingale stuff, what is needed ?
– Rebellos
8 hours ago
It is not a random $xi$, it is the product of careful thought by someone who knew what he was looking for. You have to construct $xi$, and there is a logic to it.
– Alex C
6 hours ago
@Rebellos I Iooked at the relative prices $S^1/S^2$ and $S^2/S^1$ and noticed that $S_1^1(omega_1)/S_1^2(omega_1), S_1^1(omega_3)/S_1^2(omega_3)>S_0^1/S_0^2$ whereas only $S_1^2(omega_2)/S_1^1(omega_2)>S_0^2/S_0^1$ so I tried to come up with an arbitrage portfolio long the security most expected to increase relatively, namely $S^1$.
– Daneel Olivaw
6 hours ago
Thanks for your reply, I get it now! Finally, that martingale stuff, what does it want me to do?
– Rebellos
6 hours ago
add a comment |
Hello, why is it legit to just take a random $xi$ and show the conditions ? Wouldn't the $xi$ need to be derived from the exercise ? I'm asking because I'm a true beginner at this lesson. Also, for the martingale stuff, what is needed ?
– Rebellos
8 hours ago
It is not a random $xi$, it is the product of careful thought by someone who knew what he was looking for. You have to construct $xi$, and there is a logic to it.
– Alex C
6 hours ago
@Rebellos I Iooked at the relative prices $S^1/S^2$ and $S^2/S^1$ and noticed that $S_1^1(omega_1)/S_1^2(omega_1), S_1^1(omega_3)/S_1^2(omega_3)>S_0^1/S_0^2$ whereas only $S_1^2(omega_2)/S_1^1(omega_2)>S_0^2/S_0^1$ so I tried to come up with an arbitrage portfolio long the security most expected to increase relatively, namely $S^1$.
– Daneel Olivaw
6 hours ago
Thanks for your reply, I get it now! Finally, that martingale stuff, what does it want me to do?
– Rebellos
6 hours ago
Hello, why is it legit to just take a random $xi$ and show the conditions ? Wouldn't the $xi$ need to be derived from the exercise ? I'm asking because I'm a true beginner at this lesson. Also, for the martingale stuff, what is needed ?
– Rebellos
8 hours ago
Hello, why is it legit to just take a random $xi$ and show the conditions ? Wouldn't the $xi$ need to be derived from the exercise ? I'm asking because I'm a true beginner at this lesson. Also, for the martingale stuff, what is needed ?
– Rebellos
8 hours ago
It is not a random $xi$, it is the product of careful thought by someone who knew what he was looking for. You have to construct $xi$, and there is a logic to it.
– Alex C
6 hours ago
It is not a random $xi$, it is the product of careful thought by someone who knew what he was looking for. You have to construct $xi$, and there is a logic to it.
– Alex C
6 hours ago
@Rebellos I Iooked at the relative prices $S^1/S^2$ and $S^2/S^1$ and noticed that $S_1^1(omega_1)/S_1^2(omega_1), S_1^1(omega_3)/S_1^2(omega_3)>S_0^1/S_0^2$ whereas only $S_1^2(omega_2)/S_1^1(omega_2)>S_0^2/S_0^1$ so I tried to come up with an arbitrage portfolio long the security most expected to increase relatively, namely $S^1$.
– Daneel Olivaw
6 hours ago
@Rebellos I Iooked at the relative prices $S^1/S^2$ and $S^2/S^1$ and noticed that $S_1^1(omega_1)/S_1^2(omega_1), S_1^1(omega_3)/S_1^2(omega_3)>S_0^1/S_0^2$ whereas only $S_1^2(omega_2)/S_1^1(omega_2)>S_0^2/S_0^1$ so I tried to come up with an arbitrage portfolio long the security most expected to increase relatively, namely $S^1$.
– Daneel Olivaw
6 hours ago
Thanks for your reply, I get it now! Finally, that martingale stuff, what does it want me to do?
– Rebellos
6 hours ago
Thanks for your reply, I get it now! Finally, that martingale stuff, what does it want me to do?
– Rebellos
6 hours ago
add a comment |
Rebellos is a new contributor. Be nice, and check out our Code of Conduct.
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