I would really appreciate some help to value a weird derivative that I've found in an assignment:
$$ X=(S_{T_1}-k)^{+} = \max(S_{T_{1}}-k;0) $$
which expires at time $T_{2}$ and uses the price at time $T_{1}$ (therefore $t<T_1<T_2$), using "R" (risk-neutral) probabilities. I tried to solve by doing: $$ V_t=S_t \times E_R [(S_{T_1}-k)\times1_{(S_{T_1}>k)}\times S_{T_2}^{-1} | F_t] $$ where $1_{(S_{T_2}>k)}$ is a function that takes a value of 1 if the condition is met and 0 if it's not, and $F_t$ is the information set at $t$. Solved it assuming $S_t=S_0\times e^{(r+\sigma^{2}/2)\times t+\sigma\times W_t}$ where $W_t$ is a Brownian Motion process, and got the expression:
$$ V_t=S_t \times N(d_1) - k\times N(d_2) $$
where $d_1=\frac{ln(K)+(r+\frac{\sigma2}{2})\times(T_{2}-T_{1})}{\sigma \times \sqrt{T_{2}-T_{1}}}$ and $d_2=\frac{ln(K)+(r+\frac{\sigma2}{2})\times(T_{2}-t)}{\sigma \times \sqrt{T_{2}-t}}$ but I'm not sure this is even close to being correct.
Then I'm asked to price the same derivative under $Q$ (risk neutral probabilities) given that $T_1<t<T_2$.
Thanks in advance to whoever can provide some assistance.