What is most time-efficient way to track portfolio asset allocation?
I  found that  an application already exists which does virtually everything I want to do with a reasonable interface.  Its called My Personal Index.  It has allowed me  to look at my asset allocation all in one place. I'll have to enter: The features which solve my problems above include:  Note - This is related to an earlier post I made regarding dollar cost averaging and determining rate of returns.   (I finally got off my duff and did something about it) I want to mention I've found 2 options for more powerful tools that can be used to manage asset allocation:  Advantages/Disadvantages: Vanguard Morningstar X-ray I hope this helps others struggling with asset allocation. If you have enough assets at T Rowe Price, you get what I think is a scaled back version of the portfolio tracker for free.
"I have a similar situation -- five different accounts between me and my wife. Just as you and @Alex B describe, I maintain my asset allocation across the combination of all accounts. I also maintain a spreadsheet to track the targets, deviations from the targets, amounts required to get back in balance, and overall performance. I (mostly) don't use mutual funds. I have selected, for each category, 1 or 2 ETFs. Choosing index ETFs with low expense ratios and a brokerage with cheap or free trades keeps expenses low. (My broker offers free ETF trades if you buy off their list as long as you aren't short-term trading; this is great for rebalancing for free 2 or 3 times a year.) Using ETFs also solves the minimum balance problem -- but watch out for commissions. If you pay $10 to buy $500 worth of an ETF, that's an immediate 2% loss; trade a couple of times a year and that ETF has to gain 5% just to break even. One issue that comes up is managing cash and avoiding transaction fees. Say your IRA has all the growth stock funds and your Roth has the bonds. Stocks do well and bonds do poorly, so you sell off some stocks, which creates a bunch of cash in your IRA. Now you want to buy some bonds but you don't have enough cash in your Roth, so you buy the bonds in your IRA. Not a problem at first but if you don't manage it you can end up with small amounts of various funds spread across all of your accounts. If you're not careful you can end up paying two commissions (in two different accounts) to sell off / purchase enough of a category to get back to your targets. Another problem I had is that only one account (401k) is receiving deposits on a regular basis, and that's all going into an S&P 500 index fund. This makes it so that my allocation is off by a fair amount every quarter or so -- too much in large cap equities, not enough of everything else. My solution to this going forward is to ""over-rebalance"" a couple of times a year: sell enough SPY from my other accounts so that I'm under-allocated in large caps by the amount I expect to add to my 401k over the next 3 months. (So that in six months at my next rebalancing I'm only 3 months over-allocated to large caps -- plus or minus whatever gains/losses there are.)" "Finding the ""optimal"" solution (and even defining what optimal is) would probably take a lot of searching of all the possible combinations of stocks you could buy, given that you can't buy fractional shares. But I'd guess that a simple ""greedy"" algorithm should get you close enough. For any given portfolio state, look at which stock is furthest below the target size - e.g. in your example, S3 is 3.5% away whereas S1 is only 3.1% away and S2 is over-sized. Then decided to buy one stock of S3, recalculate the current proportions, and repeat until you can't buy more stocks because you've invested all the money. If you have to pay a transaction fee for each kind of stock you purchase you might want to calculate this in larger lot sizes or just avoid making really small purchases." If you just want to track an index, then ETFs are, generally speaking, the better way. you can check google scholar for some research reports on it.  depends how complex you want to get...  it is obviously a function of the size of the portfolio of each type of asset. do you have a full breakdown of securities held? you can get historical average volumes during different economic periods, categorized by interest rates for example, and then calculate the days required to liquidate the position, applying a discount on each subsequent day. Look into the asset allocations of lifecycle funds offered by a company like Vanguard. This page allows you to select your current age and find a fund based on that. You could pick a fund, like the Target Retirement 2055 Fund (ages 21-25), and examine its allocation in the Portfolio & Management tab. For this fund, the breakdown is: Then, look at the allocation of the underlying funds that comprise the lifecycle fund, in the same tab.  Look at each of those funds and see what asset allocation they use, and that should give you a rough idea for an age-based allocation. For example, the Total Stock Market Index Fund page has a sector breakdown, so if you wanted to get very fine-grained with your allocation, you could. (You're probably much better off investing in the index fund, low-cost ETFs, or the lifecycle fund itself, however; it'll be much cheaper).  Doing this for several lifecycle funds should be a good start. Keep in mind, however, that these funds are rebalanced as the target date approaches, so if you're following the allocation of some particular funds, you'll have to rebalance as well. If you really want an age-based allocation that you don't have to think about, invest in a lifecycle fund directly. You'll probably pay a lower expense ratio than if you invested in a whole slew of funds directory, and it's less work for someone who isn't comfortable managing their portfolio themselves. Furthermore, with Vanguard, the expense ratios are already fairly low.  This is only one example of an allocation, however; your tolerance of risk, age, etc. may affect what allocation you're willing to accept.  Full disclosure: Part of my Roth IRA is invested in the Target 2055 fund I used as an example above, and another part uses a similar rebalancing strategy to the one I used above, but with Admiral Share funds, which have higher minimum investments but lower expense ratios. So I did some queries on Google Scholar, and the term of art academics seem to use is target date fund. I notice divided opinions among academics on the matter. W. Pfau gave a nice set of citations of papers with which he disagrees, so I'll start with them. In 1969, Paul Sameulson published the paper Lifetime Portfolio Selection By Dynamic Stochaistic Programming, which found that there's no mathematical foundation for an age based risk tolerance. There seems to be a fundamental quibble relating to present value of future wages; if they are stable and uncorrelated with the market, one analysis suggests the optimal lifecycle investment should start at roughly 300 percent of your portfolio in stocks (via crazy borrowing). Other people point out that if your wages are correlated with stock returns, allocations to stock as low as 20 percent might be optimal. So theory isn't helping much. Perhaps with the advent of computers we can find some kind of empirical data. Robert Shiller authored a study on lifecycle funds when they were proposed for personal Social Security accounts. Lifecycle strategies fare poorly in his historical simulation: Moreover, with these life cycle portfolios, relatively little is contributed when the allocation to stocks is high, since earnings are relatively low in the younger years. Workers contribute only a little to stocks, and do not enjoy a strong effect of   compounding, since the proceeds of the early investments are taken out of the stock   market as time goes on. Basu and Drew follow up on that assertion with a set of lifecycle strategies and their contrarian counterparts: whereas a the lifecycle plan starts high stock exposure and trails off near retirement, the contrarian ones will invest in bonds and cash early in life and move to stocks after a few years. They show that contrarian strategies have higher average returns, even at the low 25th percentile of returns. It's only at the bottom 5 or 10 percent where this is reversed. One problem with these empirical studies is isolating the effect of the glide path from rebalancing. It could be that a simple fixed allocation works plenty fine, and that selling winners and doubling down on losers is the fundamental driver of returns. Schleef and Eisinger compare lifecycle strategy with a number of fixed asset allocation schemes in Monte Carlo simulations and conclude that a 70% equity, 30% long term corp bonds does as well as all of the lifecycle funds. Finally, the earlier W Pfau paper offers a Monte Carlo simulation similar to Schleef and Eisinger, and runs final portfolio values through a utility function designed to calculate diminishing returns to more money. This seems like a good point, as the risk of your portfolio isn't all or nothing, but your first dollar is more valuable than your millionth. Pfau finds that for some risk-aversion coefficients, lifecycles offer greater utility than portfolios with fixed allocations. And Pfau does note that applying their strategies to the historical record makes a strong recommendation for 100 percent stocks in all but 5 years from 1940-2011. So maybe the best retirement allocation is good old low cost S&P index funds! "Trying to ""time the market"" is usually a bad idea. People who do this every day for a living have a hard time doing that, and I'm guessing you don't have that kind of time and knowledge.  So that leaves you with your first and third options, commonly called lump-sum and dollar cost averaging respectively.   Which one to use depends on where your preferences lie on the risk/reward scpectrum. Dollar cost averaging (DCA) has lower risk and lower reward than lump sum investing. In my opinion, I don't like it. DCA only works better than lump sum investing if the price drops. But if you think the price is going to drop, why are you buying the stock in the first place? Example: Your uncle wins the lottery and gives you $50,000. Do you buy $50,000 worth of Apple now, or do you buy $10,000 now and $10,000 a quarter for the next four quarters? If the stock goes up, you will make more with lump-sum(LS) than you will with DCA. If the stock goes down, you will lose more with LS than you will with DCA. If the stock goes up then down, you will lose more with DCA than you will with LS. If the stock goes down then up, you will make more with DCA than you will with LS. So it's a trade-off. But, like I said, the whole point of you buying the stock is that you think it's going to go up, which is especially true with an index fund! So why pick the strategy that performs worse in that scenario?" "Mint.com does this quite well. The graph views of your budgets, investments, debts, and other aspects of your financial life can be shown in gestalt, or on a per-account basis (at least, it does for me). See the investment ""how it works"" page for more information.  ""Find out whether you're beating the market–or it's beating you. Compare your portfolio to market benchmarks, and instantly see your asset allocation across all your investment accounts: 401k, mutual funds, brokerage accounts, even IRAs.""" You better buy an ETF that does the same, because it would be much cheaper than mutual fund (and probably much cheaper than doing it yourself and rebalancing to keep up with the index).  Look at DIA for example. Neither buying the same amount of stocks nor buying for the same amount of money would be tracking the DJIE. The proportions are based on the market valuation of each of the companies in the index. Since the vast majority of fund managers/big investors run private entities, it's not possible to track their performance. It's possible to look at what they are holding (that's never real-time information) and emulate their performance. A couple ways, but its not a guarantee.  You have to have special charts. Instead of each tick being 1 min, 5 min, or whatever, it is a set number of trades. Say 2000. Since retail investors only buy and sell in small amounts, there will be small volume per tick. An institutional investor, however, would have a much much higher trade lot size, even if using an algo. Thus, large volume spikes in such a chart would signal institutional activity over retail. Similarly, daily charts showing average trade size can help you pick out when institutional activity is highest, as they have much larger trade sizes. You could also learn how the algos work and look for evidence one is being used. ie every time price hits VWAP a large sell order goes through would indicate an institutional investor is selling, especially if it happens multiple times in a row. I would track it using a regular asset account.  The same way I would track the value of a house, a car, or any other personal asset. ETA: If you want automatic tracking, you could set it up as a stock portfolio holding shares of the GLD ETF.  One share of GLD represents 1/10 ounce of gold.  So, if you have 5 ounces of gold, you would set that up in Quicken as 50 shares of GLD. I guess I wasn't clear. I want to modestly leverage (3-4x) my portfolio using options. I believe long deep-in-the-money calls would be the best way to do this? (Let me know if not.)  It's important to me that the covariance matrix from the equity portfolio scales up but doesn't fundamentally change. (I liken it to systemic change as opposed to idiosyncratic change.)   This is what I was thinking:  * For the same expiry date, find each positions lowest lambda. * Match all option to the the highest of the lowest lambda. * Adjust number of contracts to compensate for higher leverage.  I don't think this will work because if I matched the lowest lambda of options on bond etfs to my equity options they would be out-of-the-money.  By the way, thanks for your time. You can follow the intra-day NAV of an ETF, for instance SPY, by viewing its .IV (intra-day value) ticker which tracks it's value.   http://finance.yahoo.com/q?s=spy http://finance.yahoo.com/q?s=^SPY-IV Otherwise, each ETF provider will update their NAV after business each day on their own website. https://www.spdrs.com/product/fund.seam?ticker=spy Deduction for Health Checkup is allowed under Section 80D and is allowed to everyone whether Salaried or Business/Professional. However, Exemption for Medical Reimbursement of Rs. 15000 is allowed under a different section.  A salaried employee can take benefit of both Medical Reimbursement of Rs. 15,000 as well as Preventive Health Check-up of Rs. 5,000.  Source: Tax Deduction for Health Check-up