How visas for social care workers may be exacerbating exploitation in the sector 
FxWirePro- Gold Daily Outlook 
Our laser technique can tell apart elephant and mammoth ivory – here’s how it may disrupt the ivory trade 
The Mars Sample Return mission has a shaky future, and NASA is calling on private companies for backup 
Family farms are fast disappearing: our research shows how young generations can take them up successfully 
History for sale: what does South Africa’s struggle heritage mean after 30 years of democracy? 
FxWirePro- Gold Daily Outlook 
What is meaningful work? A philosopher’s view 
New ‘cold war’ grows ever warmer as the prospect of a nuclear arms race hots up 
The planetary orbit in Netflix’s ‘3 Body Problem’ is random and chaotic, but could it exist? 
The politics stopping the UK from opening a youth mobility scheme with Europe 
Why is China risking US sanctions by arming Russia? 
Targeting volatility via optimal portfolios:
An aggressive trader or investor keen on the volatile asset class targets a rise or fall measured in volatility points.
However, the Markowitz framework can be used to design optimal allocations which correspond to the volatility change targeted by the investor.
The main observations on the six optimal allocations obtained with the data sample since the start of 2013 follow below (see graph):
AUD/USD volatility generally has a small weight while the EUR/USD and GBP/USD tend to have large absolute weights.
All allocations (buying and selling volatility) are buying GBP/USD and USD/CAD volatility.
Long volatility portfolios are underweighted in USD/JPY volatility.
Targeting either a large rise or fall involves massively selling EUR/USD volatility and buying the five others.
The biggest long USD/JPY volatility exposure is found to target a large volatility fall.
The corresponding portfolio will be efficient in the sense that it will be diversified and exposed to the minimal level of risk given the targeted return. In that way, the expected return becomes an exogenous input.
Obtaining the optimal allocations equates to a slide on the efficient frontier. We compute the optimal allocations corresponding to targeted volatility increases and falls. The order of magnitude of these investing scenarios corresponds to the historical scenarios.
The numbers reflect the usual asymmetry with volatility increasing more than it falls (the return of the naive allocation is a gain of 4.9 points in the rising case, whereas the falling case sees a gain of only 4 points).
