What are the possible metrics for evaluating annual performance of a portfolio?
The Investopedia article you linked to is a good start. Its key takeaway is that you should always consider risk-adjusted return when evaluating your portfolio. In general, investors seeking a higher level of return must face a higher likelihood of taking a loss (risk). Different types of stocks (large vs small; international vs US; different industry sectors) have different levels of historical risk and return. Not to mention stocks vs bonds or other financial instruments... So, it's key to make an apples-to-apples comparison against an appropriate benchmark. A benchmark will tell you how your portfolio is doing versus a comparable portfolio. An index, such as the S&P 500, is often used, because it tells you how your portfolio is doing compared against simply passively investing in a diversified basket of securities. First, I would start with analyzing your portfolio to understand its asset allocation. You can use a tool like the Morningstar X-Ray to do this. You may be happy with the asset allocation, or this tool may inform you to adjust your portfolio to meet your long-term goals. The next step will be to choose a benchmark. Given that you are investing primarily in non-US securities, you may want to pick a globally diversified index such as the Dow Jones Global Index. Depending on the region and stock characteristics you are investing in, you may want to pick a more specialized index, such as the ones listed here in this WSJ list. With your benchmark set, you can then see how your portfolio's returns compare to the index over time. IRR and ROI are helpful metrics in general, especially for corporate finance, but the comparison-based approach gives you a better picture of your portfolio's performance. You can still calculate your personal IRR, and make sure to include factors such as tax treatment and investment expenses that may not be fully reflected by just looking at benchmarks. Also, you can calculate the metrics listed in the Investopedia article, such as the Sharpe ratio, to give you another view on the risk-adjusted return.
There are at least a couple of ways you could view this to my mind: Make an Excel spreadsheet and use the IRR function to compute the rate of return you are having based on money being added. Re-invested distributions in a mutual fund aren't really an additional investment as the Net Asset Value of the fund will drop by the amount of the distribution aside from market fluctuation. This is presuming you want a raw percentage that could be tricky to compare to other funds without doing more than a bit of work in a way. Look at what is the fund's returns compared to both the category and the index it is tracking. The tracking error is likely worth noting as some index funds could lag the index by a sizable margin and thus may not be that great. At the same time there may exist cases where an index fund isn't quite measuring up that well. The Small-Growth Indexing Anomaly would be the William Bernstein article from 2001 that has some facts and figures for this that may be useful. Basically you'd take all the companies in a given universe (like the S&amp;P 500 or the Russell 3000) and instead of weighting them by market cap as they are currently done, you would weight by an alternative measure.  Right now, if you're invested in an index that is market cap weighted, you're effectively momentum chasing. If a stock runs up, you're going to have a higher weight in your portfolio because of it (but only after the increase).  An alternative that OppenheimerFunds has come up with is using revenue-weighting. That way you're using company fundamentals and only when the fundamentals are improving do you increase the weight in your portfolio.  I haven't yet seen any research that explores weighting by other fundamentals. I would think that revenues aren't perfect either and that you might want to weight by Net Income. Or to go several steps further, by year over year Free Cash Flow growth.   It could be a seminal paper if you are the one who empirically identifies a better weighting methodology and then have everyone else fight over the theoretical underpinnings.  This is effectively what goes into Smart Beta investing: http://www.investopedia.com/terms/s/smart-beta.asp "Please note that the following Graham Rating below corresponds to five years: Earnings Stability (100% ⇒ 10 Years): 50.00% Benjamin Graham - once known as The Dean of Wall Street - was a scholar and financial analyst who mentored legendary investors such as Warren Buffett, William J. Ruane, Irving Kahn and Walter J. Schloss. Buffett describes Graham's book - The Intelligent Investor - as ""by far the best book about investing ever written"" (in its preface). Graham's first recommended strategy - for casual investors - was to invest in Index stocks.  For more serious investors, Graham recommended three different categories of stocks - Defensive, Enterprising and NCAV - and 17 qualitative and quantitative rules for identifying them.  For advanced investors, Graham described various ""special situations"". The first requires almost no analysis, and is easily accomplished today with a good S&P500 Index fund. The last requires more than the average level of ability and experience. Such stocks are also not amenable to impartial algorithmic analysis, and require a case-specific approach. But Defensive, Enterprising and NCAV stocks can be reliably detected by today's data-mining software, and offer a great avenue for accurate automated analysis and profitable investment. For example, given below are the actual Graham ratings for International Business Machines Corp (IBM), with no adjustments other than those for inflation. Defensive Graham investment requires that all ratings be 100% or more. Enterprising Graham investment requires minimum ratings of - N/A, 75%, 90%, 50%, 5%, N/A and 137%. International Business Machines Corp - Graham Ratings Sales | Size (100% ⇒ $500 Million): 18,558.60% Current Assets ÷ [2 x Current Liabilities]: 62.40% Net Current Assets ÷ Long Term Debt: 28.00% Earnings Stability (100% ⇒ 10 Years): 100.00% Dividend Record (100% ⇒ 20 Years): 100.00% Earnings Growth (100% ⇒ 30% Growth): 172.99% Graham Number ÷ Previous Close: 35.81% Not all stocks failing Graham's rules are necessarily bad investments. They may fall under ""special situations"". Graham's rules are also extremely selective. Graham designed and backtested his framework for over 50 years, to deliver the best possible long-term results. Even when stocks don't clear them, Graham's rules give a clear quantifiable measure of a stock's margin of safety. Thank you." "You're talking about modern portfolio theory. The wiki article goes into the math. Here's the gist: Modern portfolio theory (MPT) is a theory of finance that attempts to maximize portfolio expected return for a given amount of portfolio risk, or equivalently minimize risk for a given level of expected return, by carefully choosing the proportions of various assets. At the most basic level, you either a) pick a level of risk (standard deviation of your whole portfolio) that you're ok with and find the maximum return you can achieve while not exceeding your risk level, or b) pick a level of expected return that you want and minimize risk (again, the standard deviation of your portfolio). You don't maximize both moments at once. The techniques behind actually solving them in all but the most trivial cases (portfolios of two or three assets are trivial cases) are basically quadratic programming because to be realistic, you might have a portfolio that a) doesn't allow short sales for all instruments, and/or b) has some securities that can't be held in fractional amounts (like ETF's or bonds). Then there isn't a closed form solution and you need computational techniques like mixed integer quadratic programming Plenty of firms and people use these techniques, even in their most basic form. Also your terms are a bit strange: It has correlation table p11, p12, ... pij, pnn for i and j running from 1 to n This is usually called the covariance matrix. I want to maximize 2 variables. Namely the expected return and the additive inverse of the standard deviation of the mixed investments. Like I said above you don't maximize two moments (return and inverse of risk). I realize that you're trying to minimize risk by maximizing ""negative risk"" so to speak but since risk and return are inherently a tradeoff you can't achieve the best of both worlds. Maybe I should point out that although the above sounds nice, and, theoretically, it's sound, as one of the comments points out, it's harder to apply in practice. For example it's easy to calculate a covariance matrix between the returns of two or more assets, but in the simplest case of modern portfolio theory, the assumption is that those covariances don't change over your time horizon. Also coming up with a realistic measure of your level of risk can be tricky. For example you may be ok with a standard deviation of 20% in the positive direction but only be ok with a standard deviation of 5% in the negative direction. Basically in your head, the distribution of returns you want probably has negative skewness:  because on the whole you want more positive returns than negative returns. Like I said this can get complicated because then you start minimizing other forms of risk like value at risk, for example, and then modern portfolio theory doesn't necessarily give you closed form solutions anymore. Any actively managed fund that applies this in practice (since obviously a completely passive fund will just replicate the index and not try to minimize risk or anything like that) will probably be using something like the above, or at least something that's more complicated than the basic undergrad portfolio optimization that I talked about above. We'll quickly get beyond what I know at this rate, so maybe I should stop there." How you use the metric is super important.   Because it subtracts cash, it does not represent 'value'.  It represents the ongoing financing that will be necessary if both the equity plus debt is bought by one person, who then pays himself a dividend with that free cash.   So if you are Private Equity, this measures your net investment at t=0.5, not the price you pay at t=0.  If you are a retail investor, who a) won't be buying the debt, b) won't have any control over things like tax jurisdictions, c) won't be receiving any cash dividend, etc etc .... the metric is pointless. Yes though I'd likely put a caveat on that. If you take short-term investments and extrapolate the results to get an annual result this can be misleading. For example, if a stock goes up 10% in a month, assuming this will continue for the next 11 months may not be a great idea. Thus, beware of how much data do you have in making these calculations. When looking at long-term investments, the compound annual growth rate can be quite useful for comparison. "10 to 20% return on investment annually. ""When I hear that an investment has a 10%+ return on it I avoid it because..."". In my opinion, and based on my experience, 10% annually is not an exageration. I start to ask questions only if one talks about return of 30% annually or more. These kind of returns are possible, but very rare.  What sort of things do we need to look out for with alternative investment? First the quality of the website and the documentation provided. Then the resume of the founders. Who are those guys? I check their LinkedIn profile. If they have none, I am out. A LinkedIn profile is a minimum if you manage an investment company. I also look for diversification and this is the case with Yieldstreet. How do we assess the risks associated with alternative investments? I would never put more than 10% of my capital in any investment, alternative ones included. I also try to find financial information on the promoter itself. In Yieldstreet case check the legal advisor. I remember an international fraud case I analyse. The promoter I investigated had seven small trust involved: in British Virgin Islands, in Panama, in Holland, in Portugal, in the United States and Canada plus a banking account in Switzerland and the biggest shareholding company in the Isle of Man. No need to talk about what happened after. The investors were all non residents in the juridictions involved and no legal recourse were possible. They lost everything. These promoters regularly change juridictions to avoid detection. As far as Yieldstreet is concerned, what I read and checked seems interesting. Thanks for your question. I will check it out myself more. I am also a very cautious investor. To evaluate alternative investments is difficult , but no need to be afraid or to avoid them. We are accredited investors after all." Most of the “recommendations” are just total market allocations.  Within domestic stocks, the performance rotates. Sometimes large cap outperform, sometimes small cap outperform. You can see the chart here (examine year by year):  https://www.google.com/finance?chdnp=1&chdd=1&chds=1&chdv=1&chvs=maximized&chdeh=0&chfdeh=0&chdet=1428692400000&chddm=99646&chls=IntervalBasedLine&cmpto=NYSEARCA:VO;NYSEARCA:VB&cmptdms=0;0&q=NYSEARCA:VV&ntsp=0&ei=_sIqVbHYB4HDrgGA-oGoDA Conventional wisdom is to buy the entire market. If large cap currently make up 80% of the market, you would allocate 80% of domestic stocks to large cap.  Same case with International Stocks (Developed). If Japan and UK make up the largest market internationally, then so be it.  Similar case with domestic bonds, it is usually total bond market allocation in the beginning.  Then there is the question of when you want to withdraw the money. If you are withdrawing in a couple years, you do not want to expose too much to currency risks, thus you would allocate less to international markets. If you are investing for retirement, you will get the total world market.  Then there is the question of risk tolerance. Bonds are somewhat negatively correlated with Stocks. When stock dips by 5% in a month, bonds might go up by 2%. Under normal circumstances they both go upward. Bond/Stock allocation ratio is by age I’m sure you knew that already.  Then there is the case of Modern portfolio theory. There will be slight adjustments to the ETF weights if it is found that adjusting them would give a smaller portfolio variance, while sacrificing small gains. You can try it yourself using Excel solver.  There is a strategy called Sector Rotation. Google it and you will find examples of overweighting the winners periodically. It is difficult to time the rotation, but Healthcare has somehow consistently outperformed. Nonetheless, those “recommendations” you mentioned are likely to be market allocations again.  The “Robo-advisors” list out every asset allocation in detail to make you feel overwhelmed and resort to using their service. In extreme cases, they can even break down the holdings to 2/3/4 digit Standard Industrial Classification codes, or break down the bond duration etc.  Some “Robo-advisors” would suggest you as many ETF as possible to increase trade commissions (if it isn’t commission free). For example, suggesting you to buy VB, VO, VV instead a VTI. R has really good package that lets you calculate the return of rebalanced portfolios. The package is called: PerformanceAnalytics (see: http://www.inside-r.org/packages/cran/PerformanceAnalytics/docs/Return.portfolio). I quickly wrote a small script for you that lets you do exactly what you want.  Code: By default the portfolio is rebalanced to an equally weighted portfolio. It is also possible to rebalance your portfolio using custom weights. See the documentation on how to do this.  In order for this code to work you need to have your data already in return terms. You can do this easily in Excel. Make sure your data in excel looks like this: Than export your data to a CSV file. Note: before you run the code make sure you have installed the package PerformanceAnalytics. You can do this as follows:  Let me know if you have any questions regarding the above. There is some convergence, but the chart seems to indicate that 5 star funds end up on the upper end of average (3 stars) whereas 1 star funds end up on the lower end of average (1.9 stars) over the long term. I would have thought that the stars would be completely useless as forward looking indicators, but they seem to have been slightly useful? @bstpierre gave you an example of a portfolio similar to IFA's 70 portfolio. Please, look other variants of example portfolios there and investigate which would suit to you.  Although the example portfolios are not ETF-based, required by the op, you can rather easily check corresponding components with this tool here. Before deciding your portfolio, fire up a spreadsheet (samples here) and do calculations and do not underestimate things below: Bogleheads have already answered this type of questions so why not look there? Less reinventing the wheel: google retirement portfolios site:bogleheads.org. I am not making any recommendations like other replies because financial recommendations devalue. I hope I steered you to the right track, use less time to pick individual funds or stocks and use more time to do your research. Generally S&P 500 will be used as the benchmark for US investors because it represents how's the US market performs as a whole. If you've outperformed the S&P 500 during the last couple years, great. However, at the end of day, you would want to look at the total growth percent that your portfolio has achieved, as compared with that of S&P 500.  Anyway, your portfolio might actually ride along with the bull market during the 2009-2010 period (more-so for the small caps). "The raw question is as follows:  ""You will be recommending a purposed portfolio to an investment committee (my class). The committee runs a foundation that has an asset base of $4,000,000. The foundations' dual mandates are to (a) preserve capital and (b) to fund $200,000 worth of scholarships. The foundation has a third objective, which is to grow its asset base over time.""   The rest of the assignment lays out the format and headings for the sections of the presentation.  Thanks, by the way - it's an 8 week accelerated course and I've been out sick for two weeks. I've been trying to teach myself this stuff, including the excel calculations for the past few weeks." it's kind of like a circular loop:  i think he would suggest identifying strategies/portfolio managers who have demonstrated outperformance in a persistent manner.  Thing is, that's also really hard to do.  I think empirically, MPT suffers when the market does. By diversifying, you'll only be down less. He's suggesting shooting for absolute returns -- no matter what the market does, he wants to see positive gains.  (a lot) easier said than done Yes an index is by definition any arbitrary selection. In general, to measure performance there are 2 ways: By absolute return - meaning you want a positive return at all times ie. 10% is good. -1% is bad. By relative return - this means beating the benchmark. For example, if the benchmark returns -20% and your portfolio returns -10%, then it has delivered +10% relative returns as compared to the benchmark.