Is “folio” an acceptable contraction of “portfolio”?
"Technically, no. According to the dictionary, a folio is a single sheet, and a portfolio is a folder or case for keeping your folios. In finance, your collection of investments is called your portfolio, probably because your broker (before the digital age) would keep the records of what each of his clients held in separate portfolios.  However, I have seen the word folio used as a short colloquialism for portfolio, and if you google ""investment folio"" you will see it used this way, mainly in trademarked names of financial firms."
My bank charges me on my statement for debit transactions, but rewards me with bogo points when I run transactions as credit. AFAIK, retailers are prevented by contract with VISA et all from recouping the merchant fee from you (instead they can mark up all prices and offer a 'cash discount'), not that you'll be able to convince your vietnamese grocer of this. The difference between debit and credit fees is large enough that even these small tricks by the bank can mean a lot of money for them. Since most retailers accept either, they recruit me into their profit game with carrots and sticks.  I've since moved to an actual cash back credit card and haven't regretted it yet. Note too that being a contractor means that you will unavoidably have periods between contracts; you tend to be out of work more often than a salaried employee would. You need to set your rates so your average income, including those down times, adds up to a living wage including all those benefits that aren't being covered. If a company hires a contractor, they understand that this is part of the trade-off. They avoid making a long-term commitment when they don't have a long-term need, and they accept that this convenience may cost a bit more in the short term. "Probably not. For your savings to enter an RRSP account, the recipient account must itself be an RRSP (duh! I hear you say). This appears to rule out any UK-based banks as they would not offer this type of account, which appears to be confirmed with a quick Google search returning no useful result for ""rrsp uk"". According to Income Tax Folio S3-F10-C1, Qualified Investments – RRSPs, RESPs, RRIFs, RDSPs and TFSAs, an RRSP may include listed securities traded on designated stock exchanges, including the London Stock Exchange. While this enables some possibilities, it is not clear that Canadian banks would offer much in the form of UK RRSPs. Your best bet may be to contact your bank and ask if they offer RRSP services for expats. Here is a list of Canadian banks in the UK. Obviously, this does not mean that they offer the type of service you are looking for (or even that they offer retail services, this may be just a trading office). Finally, if you need to move money from an RRSP to anything other than an RRSP this will trigger the inclusion of the sale proceeds as taxable income in that year." "You are conflating two different types of risk here.  First, you want to invest money, and presumably you're not looking at the ""lowest risk, lowest returns"" end of the spectrum. This is an inherently risky activity.  Second, you are in a principal-agent relationship with your advisor, and are exposed to the risk of your advisor not maximizing your profits. A lot has been written on principal-agent theory, and while incentive schemes exist, there is no optimal solution.  In your case, you hope that your agent will start maximizing your profits if they are 100% correlated with his profits. While this idea is true (at least according to standard economic theory, you could find exceptions in behavioral economics and in reality), it also forces the agent to participate in the first risk.  From the point of view of the agent, this does not make sense. He is looking to render services and receive income for it. An agent with integrity is certainly prepared to carry the risk of his own incompetence, just like Apple is prepared to replace your iPhone should it not start one day. But the agent is not prepared to carry additional risks such as the market risk, and should not be compelled to do so. It is your risk, a risk you personally take by deciding to play the investment gamble, and you cannot transfer it to somebody else.  Of course, what makes the situation here more difficult than the iPhone example is that market-driven losses cannot be easily distinguished from incompetent-agent losses. So, there is no setup in which you carry the market risk only and your agent carries the incompetence risk only. But as much as you want a solution in which the agent carries all risk, you probably won't find an agent willing to sign such a contract. So you have to simply accept that both the market risk and the incompetence risk are inherent to being an investor.  You can try to mitigate your own incompetence by having an advisor invest for you, but then you have to accept the risk of his incompetence. There is no way to depress the total incompetence risk to zero." "For your first question, the general guidelines I've seen recommended are as follows: As to your second question, portfolio management is something you should familiarize yourself with.  If you trust it to other people, don't be surprised when they make ""mistakes"".  Remember, they get paid regardless of whether you make money.  Consider how much any degree of risk will affect you.  When starting out, your contributions make up most of the growth of your accounts; now is the time when you can most afford to take higher risk for higher payouts (still limiting your risk as much as possible, of course).  A 10% loss on a portfolio of $50k can be replaced with a good year's contributions.  Once your portfolio has grown to a much larger sum, it will be time to dial back the risk and focus on preserving your capital.   When choosing investments, always treat your porfolio as a whole - including non-retirement assets (other investment accounts, savings, even your house).  Don't put too many eggs from every account into the same basket, or you'll find that 30% of your porfolio is a single investment.  Also consider that some investments have different tax consequences, and you can leverage the properties of each account to offset that." "Answering this question is weird, because it is not really precise in what you mean. Do you want all stocks in the US? Do you want a selection of stocks according to parameters?  Do you just want a cool looking graph? However, your possible misuse of the word derivative piqued my interest. Your reference to  gold and silver seems to indicate that you do not know what a derivative actually is. Or what it would do in a portfolio.  The straightforward way to ""see"" an efficient frontier is to do the following. For a set of stocks (in this case six ""randomly"" selected ones):      library(quantmod)  library(fPortfolio)  library(PerformanceAnalytics)     getSymbols(c(""STZ"", ""RAI"", ""AMZN"", ""MSFT"", ""TWX"", ""RHT""), from = ""2012-06-01"", to = ""2017-06-01"")     returns &lt;- NULL  tickerlist &lt;- c(""STZ"", ""RAI"", ""AMZN"", ""MSFT"", ""TWX"", ""RHT"")  for (ticker in tickerlist){   returns &lt;- cbind(returns, monthlyReturn(Ad(eval(as.symbol(ticker)))))  }  colnames(returns) &lt;- tickerlist  returns &lt;- as.timeSeries(returns)    frontier &lt;- portfolioFrontier(returns)  png(""frontier.png"", width = 800, height = 600)  plot(frontier, which = ""all"")  dev.off()    minvariancePortfolio(returns, constraints = ""LongOnly"")    Portfolio Weights:    STZ    RAI   AMZN   MSFT    TWX    RHT   0.1140 0.3912 0.0000 0.1421 0.1476 0.2051     Covariance Risk Budgets:    STZ    RAI   AMZN   MSFT    TWX    RHT   0.1140 0.3912 0.0000 0.1421 0.1476 0.2051     Target Returns and Risks:   mean    Cov   CVaR    VaR   0.0232 0.0354 0.0455 0.0360    https://imgur.com/QIxDdEI  The minimum variance portfolio of these six assets has a mean return is 0.0232 and variance is 0.0360. AMZN does not get any weight in the portfolio.  It kind of means that the other assets span it and it does not provide any additional diversification benefit.   Let us add two ETFs that track gold and silver to the mix, and see how little difference it makes:    getSymbols(c(""GLD"", ""SLV""), from = ""2012-06-01"", to = ""2017-06-01"")    returns &lt;- NULL  tickerlist &lt;- c(""STZ"", ""RAI"", ""AMZN"", ""MSFT"", ""TWX"", ""RHT"", ""GLD"", ""SLV"")  for (ticker in tickerlist){   returns &lt;- cbind(returns, monthlyReturn(Ad(eval(as.symbol(ticker)))))  }  colnames(returns) &lt;- tickerlist  returns &lt;- as.timeSeries(returns)   frontier &lt;- portfolioFrontier(returns)    png(""weights.png"", width = 800, height = 600)  weightsPlot(frontier)  dev.off()    # Optimal weights  out &lt;- minvariancePortfolio(returns, constraints = ""LongOnly"")  wghts &lt;- getWeights(out)  portret1 &lt;- returns%*%wghts  portret1 &lt;- cbind(monthprc, portret1)[,3]  colnames(portret1) &lt;- ""Optimal portfolio""    # Equal weights  wghts &lt;- rep(1/8, 8)  portret2 &lt;- returns%*%wghts  portret2 &lt;- cbind(monthprc, portret2)[,3]  colnames(portret2) &lt;- ""Equal weights portfolio""   png(""performance_both.png"", width = 800, height = 600)  par(mfrow=c(2,2))  chart.CumReturns(portret1, ylim = c(0, 2))  chart.CumReturns(portret2, ylim = c(0, 2))  chart.Drawdown(portret1, main = ""Drawdown"", ylim = c(-0.06, 0))  chart.Drawdown(portret2, main = ""Drawdown"", ylim = c(-0.06, 0))  dev.off()   https://imgur.com/sBHGz7s   Adding gold changes the minimum variance mean return to 0.0116 and the variance stays about the same 0.0332. You can see how the weights change at different return and variance profiles in the picture.  The takeaway is that adding gold decreases the return but does not do a lot for the risk of the portfolio.  You also notice that silver does not get included in the minimum variance efficient portfolio (and neither does AMZN).  https://imgur.com/rXPbXau  We can also compare the optimal weights to an equally weighted portfolio and see that the latter would have performed better but had much  larger drawdowns. Which is because it has a higher volatility, which might be undesirable.  ---  Everything below here is false, but illustrative.  So what about the derivative part? Let us assume you bought an out of the money call option with a strike of 50 on MSFT at the beginning of the  time series and held it to the end.  We need to decide on the the annualized cost-of-carry rate, the annualized rate of interest, the time to maturity is measured in years, the annualized  volatility of the underlying security is proxied by the historical volatility.   library(fOptions)   monthprc &lt;- Ad(MSFT)[endpoints(MSFT, ""months"")]  T &lt;- length(monthprc) # 60 months, 5 years  vol &lt;- sd(returns$MSFT)*sqrt(12) # annualized volatility    optprc &lt;- matrix(NA, 60, 1)  for (t in 1:60) {   s &lt;- as.numeric(monthprc[t])   optval &lt;- GBSOption(TypeFlag = ""c"", S = s, X = 50, Time = (T - t) / 12, r = 0.001, b = 0.001, sigma = vol)   optprc[t] &lt;- optval@price  }    monthprc &lt;- cbind(monthprc, optprc)  colnames(monthprc) &lt;- c(""MSFT"", ""MSFTCall50"")    MSFTCall50rets &lt;- monthlyReturn(monthprc[,2])  colnames(MSFTCall50rets) &lt;- ""MSFTCall50rets""    returns &lt;- merge(returns, MSFTCall50rets)    wghts &lt;- rep(1/9, 9)    portret3 &lt;- returns%*%wghts  portret3 &lt;- cbind(monthprc, portret3)[,3]  colnames(portret3) &lt;- ""Equal weights derivative portfolio""    png(""performance_deriv.png"", width = 800, height = 600)  par(mfrow=c(2,2))  chart.CumReturns(portret2, ylim = c(0, 4.5))  chart.CumReturns(portret3, ylim = c(0, 4.5))  chart.Drawdown(portret2, main = ""Drawdown"", ylim = c(-0.09, 0))  chart.Drawdown(portret3, main = ""Drawdown"", ylim = c(-0.09, 0))  dev.off()  https://imgur.com/SZ1xrYx   Even though we have a massively profitable instrument in the derivative. The portfolio analysis does not include it  because of the high volatility. However, if we just use equal weighting and essentially take a massive position in  the out of the money call (which would not be possible in real life), we get huge drawdowns and volatility, but  the returns are almost two fold. But nobody will sell you a five year call.  Others can correct any mistakes or misunderstandings in the above. It hopefully gives a starting point.  Read more at:   https://en.wikipedia.org/wiki/Modern_portfolio_theory https://en.wikipedia.org/wiki/Option_(finance)  The imgur album:  https://imgur.com/a/LoBEY" Efficient Frontier has an article from years ago about the small-cap and value premiums out there that would be worth noting here using the Fama and French data. Eugene Fama and Kenneth French (F/F) have shown that one can explain   almost all of the returns of equity portfolios based on only three   factors: market exposure, market capitalization (size), and   price-to-book (value). Wikipedia link to the factor model which was the result of the F/F research. That looks like a portfolio designed to protect against inflation, given the big international presence, the REIT presence and TIPS bonds. Not a bad strategy, but there are a few things that I'd want to look at closely before pulling the trigger.