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#32
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| kastnna wrote: - quote - > beliavsky[at]aol.com wrote:
Almost every retiree effectively has the option to buy a limited amount> > There exist inflation-indexed annuities, described at > > http://www.investopedia.com/articles...ectannuity.asp . > Well I'll be damned! I guess I haven't ran into them very often in my > work. Do they carry higher than average expenses (T.N.S.T.A.A.F.T)? > Annuities already run relatively high expenses in many cases. of inflation-indexed annuity (IIA) by deferring the date he or she starts receiving Social Security benefits. If the earliest date one start receiving benefits is age 60 and the last date deferral makes sense (when benefits stop increasing) is age 70, and the monthly difference in payments between the two options is $X per month, the government is offering you an $X per month IIA starting at age 70 for the cost of the foregone benefits between ages 60 and 70. The age 60 level of payments constitutes the base IIA that everyone gets. The ages 60 and 70 above are just illustrative -- I am unfamiliar with the details of how Social Security benefits depend on the age they commence. |
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#31
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| kastnna wrote: - quote - > beliavsky[at]aol.com wrote:
For an immediate annuity, where the payoffs are fixed, "expense ratio"> > There exist inflation-indexed annuities, described at > > http://www.investopedia.com/articles...ectannuity.asp . > Well I'll be damned! I guess I haven't ran into them very often in my > work. Do they carry higher than average expenses (T.N.S.T.A.A.F.T)? > Annuities already run relatively high expenses in many cases. is a nebulous concept, unlike a variable annuity or a mutual fund where returns = asset returns - expenses If the "fair value" of an immediate annuity is 95% of its purchase price, the 5% cost should be compared with the alternatives. Such an annuity could be cheaper than paying a fee-only planner 1% of assets, annually, for 20 years. |
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#30
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| beliavsky[at]aol.com wrote: - quote - > There exist inflation-indexed annuities, described at
Well I'll be damned! I guess I haven't ran into them very often in my> http://www.investopedia.com/articles...ectannuity.asp . work. Do they carry higher than average expenses (T.N.S.T.A.A.F.T)? Annuities already run relatively high expenses in many cases. |
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#29
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| kastnna wrote: - quote - > Definitely no annuity at this point (By the way, I'm not always
There exist inflation-indexed annuities, described at> anti-annuity)! > Inflation would kill the annuity's income stream in later years even if > she could get the needed return (which she can't). http://www.investopedia.com/articles...ectannuity.asp . |
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#28
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| Jose Bailen wrote: - quote - > Fair enough. But there is another important caveat of the Monte Carlo
Hey, I was using your inputs. I don't claim to know how the> simulator: it assumes that the distribution of returns does not change > over time. distributions will change in the future. Do you want to assume lower volatility and lower returns? - quote - > I don't think that the Monte Carlo simulator -that uses only the
True, but...> average and the standard deviation for the whole sample- takes into > account changes in the distribution in different subsample periods - quote - > , as
....if I define "very bad" outcomes as losing money and "excellent> well as the fact that in almost every case very bad outcomes one year > were immediately followed by excellent returns the next year. returns" as > 10% then excellent returns followed losing years 57% of the time in the data series you presented in the previous post. But I would expect to get > 10% returns 62% of the time with a random draw against a normal distribution with the same mean and standard deviation as the series you presented. So it seems that a Monte Carlo would have excellent returns following very bad years more often than your series. Does this make the Monte Carlo optimistic? Always, always, always check my math... -Will |
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#27
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| This thread is drifting into a technical and extensive conversation about investing which we feel would be more appropriate for another specialty newsgroup - possibly on investing. Accordingly, future posters to this thread are requested to direct their comments to investing within the context of a general financial plan. As usual, please do not respond to this message. Comments on newsgroup operation should be directed to the Moderator's email addresses as shown in the weekly post, "Posting to misc.invest.financial-plan". Thank you. -HW "Skip" Weldon Columbia, SC |
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#26
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| Just checked/updated the information provided by the Ken French data library (http://mba.tuck.dartmouth.edu/pages/...a_library.html). These are the returns of different investment styles from 1927-2005. They are not inflation-adjusted. "Low" means low book-to-market portfolios (i.e., growth portfolios) while "high" means high book to market portfolios. These are annual data for average value-weighed portfolios (equally weighted portfolios give even better average returns, but also greater volatility): Average Value Weighted Returns -- Annual Small Big Low 2 High Low 2 High 1927 31.59 26.74 33.79 44.26 23.55 31.79 1928 31.88 40.42 42.43 46.51 31.79 25 1929 -46.73 -30.7 -36.81 -19.54 0.76 -4.4 1930 -35.79 -32.19 -45.38 -26.38 -29.29 -43.35 1931 -41.33 -48.31 -51.66 -35.88 -60.22 -57.89 1932 -5.04 -8.53 3.61 -7.32 -16.73 -4.33 1933 166.14 119.96 125.42 44.23 89.36 114.81 1934 34.17 19.78 8.03 10.75 -2.9 -21.77 1935 47.95 75.87 53.8 42.06 47.13 50.77 1936 38.34 48.9 74.95 26.42 37.94 48.55 1937 -48.77 -48.65 -50.44 -34.35 -31.93 -40.71 1938 46.68 43.98 25.54 33.12 20.33 25.69 1939 10.08 1.24 -3.97 7.59 -3.46 -13.17 1940 -1.68 -1.65 -10.49 -9.67 -3.87 -2.5 1941 -16.58 -10.83 -4.68 -12.58 -5.31 -1.18 1942 16.94 27.98 35.26 13.54 17.41 33.4 1943 46.31 54.97 93.32 21.61 33.96 43.81 1944 40.41 40.22 50.44 16.03 21.76 42.58 1945 63.62 60.02 72.48 31.72 38.71 49.84 1946 -12.44 -9.64 -7.44 -7.18 -1.65 -8.18 1947 -8.52 -2.3 5.18 3.54 4.55 8.81 1948 -7.86 -6.96 -2.69 3.71 1.6 4.75 1949 24.51 22.67 21.51 23.38 15.9 16.95 1950 31.1 31.9 51.05 22.64 31.37 56.99 1951 16.78 15.19 12.33 20.02 25.13 13.4 1952 7.18 9.97 9.23 13.04 13.39 20.26 1953 0.42 -0.97 -6.4 2.26 0.53 -7.96 1954 42.9 61.1 63.28 47.77 48.2 77.77 1955 14.71 20.64 23.89 28.63 18.93 29.51 1956 7.96 7.76 5.98 6.57 13 4.32 1957 -16.93 -14.8 -16.18 -8.9 -8.15 -23.19 1958 76.07 57.72 69.42 41.45 45.58 72.04 1959 20.02 20.38 17.96 13.12 9.97 18.98 1960 -2.72 -0.93 -5.74 -2.2 8.16 -8.68 1961 21.08 30.37 31.35 26.38 26.61 29.18 1962 -19.92 -15.47 -9.35 -10.75 -5.8 -3.29 1963 7.56 16.57 28.96 21.9 17.15 32.81 1964 8.08 17.61 23.05 14.46 20.42 19.52 1965 35.72 33.31 41.83 13.46 10.04 22.69 1966 -5.81 -6.07 -7.35 -10.83 -5.87 -10.46 1967 89.73 72.72 67.92 29.16 15.8 31.84 1968 32.58 40.45 46.22 3.96 15.84 26.79 1969 -24.48 -22.98 -25.93 3 -16.96 -16.41 1970 -21.27 -7.89 6.52 -5.71 8.05 10.32 1971 26.22 21.15 14.52 24.22 5.86 13.41 1972 -0.06 7.84 7.1 21.48 11.01 18.71 1973 -45.51 -32.72 -27.51 -21.65 -8.83 -4.17 1974 -32.35 -26.39 -18.39 -29.3 -22.86 -23.1 1975 60.91 58.08 57.9 34.32 41.9 55.18 1976 38.51 47.13 60.18 17.35 41.07 44.22 1977 18.64 18.46 23.22 -9.57 -0.81 1.4 1978 17.5 21 22.05 6.96 6.89 3.74 1979 49.19 36.83 38.34 16.49 23.4 22.95 1980 52.4 30.62 22.33 35.41 36.55 16.45 1981 -10.88 13.78 17.28 -7.57 -7.44 14.16 1982 19.36 33.56 41.18 21.64 17.97 27.28 1983 19.58 40.26 48.07 14.59 25.23 27.2 1984 -13.87 2.35 8.32 -0.66 5.69 15.82 1985 28.87 34.89 32.75 32.5 32.22 31.49 1986 2.39 9.96 14.17 14.64 20.09 21.32 1987 -13.43 -4.14 -6.11 7.41 3.36 -2.2 1988 14.51 28.26 30.73 12.67 17.75 25.79 1989 19.63 17.97 16.46 36.2 25.36 29.33 1990 -18.7 -17.52 -23.57 1.14 -5.52 -13.49 1991 53.62 46.63 40.64 43.04 22.18 27.54 1992 4.65 22.53 35.19 6.31 9.77 23.53 1993 10.61 20.29 27.2 0.85 16.9 22.31 1994 -6.7 0.24 0.15 2.6 1.01 -5.71 1995 28.8 28.37 32.74 37.75 38.63 36.57 1996 9.28 22.43 24.07 22.58 25.53 14.67 1997 10.01 31.73 38.4 30.65 37.08 27.01 1998 -1.49 -5.58 -1.36 39.47 7.51 20.3 1999 46.6 21.71 7.75 26.79 5.82 -0.69 2000 -23.39 19.3 22.12 -13.51 16.9 20.9 2001 -0.12 16.8 22.51 -14.59 -1.28 -0.68 2002 -32.1 -11.72 -9.05 -22.57 -15.29 -25.13 2003 54.71 49.92 64.06 27.9 30.7 27.93 2004 15.11 20.37 21.38 7.48 14.76 20.05 2005 -0.66 8.85 9.16 4.06 8.26 11.62 Average 13.9 17.5 19.9 11.5 12.8 15.7 STDEV 33.9 29.1 31.9 20.4 21.4 27.1 Max 166.14 119.96 125.42 47.77 89.36 114.81 Min -48.77 -48.65 -51.66 -35.88 -60.22 -57.89 |
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#25
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| - quote - > But average arithmetic returns are misleading. It is the volatility
Fair enough. But there is another important caveat of the Monte Carlo> that matters when you are drawing down, especially early on as Jim > pointed out. Remember that you're in a non-commutative regime if you > are drawing down - order matters. simulator: it assumes that the distribution of returns does not change over time. In fact, if you use a Hodrick-Prescott filter (that provides a better trendline than just the average), you may appreciate that the average return of the small cap value portfolio has been increasing over time (not by much, but even small changes mean a lot when composed many years). Also, the volatility of these returns have decreased somewhat: the largest volatility of small cap value stocks returns were in the first 11 years of the sample (the 1927-1937 period). The absolutely-worst yearly performance of small cap value stocks was in 1931 -a decline of 51.86 percent- while the best performance was in 1933 -a return of 118.31 percent-. In the last 30-yr period (1966-2005), the worst performance was in 1973 (minus 27.32 percent) and the best was 1967 (69.17 percent). Since the 1973-1974 period, there has been only one year with a double digit decline in small cap value returns - 1990, with a 24 percent decline, which was followed by a (positive) return of 40.64 percent the next year- I don't think that the Monte Carlo simulator -that uses only the average and the standard deviation for the whole sample- takes into account changes in the distribution in different subsample periods, as well as the fact that in almost every case very bad outcomes one year were immediately followed by excellent returns the next year. These are the small cap value returns data downloaded from the Ken French website (they are not inflation-adjusted): High 1927 36.26 1928 41.17 1929 -36.05 1930 -46.15 1931 -51.64 1932 1.54 1933 118.31 1934 8.97 1935 52.36 1936 73.92 1937 -51.21 1938 26.1 1939 -3.64 1940 -9.39 1941 -4.81 1942 35.1 1943 92.27 1944 50.58 1945 72.67 1946 -7.59 1947 5.16 1948 -2.22 1949 20.72 1950 50.01 1951 12.54 1952 8.14 1953 -6.55 1954 62.37 1955 23.54 1956 6.71 1957 -15.77 1958 69.77 1959 18.13 1960 -5.75 1961 30.61 1962 -9.26 1963 28.93 1964 22.78 1965 41.31 1966 -8.02 1967 69.17 1968 46.43 1969 -25.75 1970 6.21 1971 14.46 1972 7.13 1973 -27.34 1974 -18.33 1975 58 1976 59.67 1977 23.21 1978 21.63 1979 37.93 1980 21.78 1981 17.41 1982 41.18 1983 47.58 1984 8.43 1985 33.04 1986 14.3 1987 -6.14 1988 30.72 1989 17.08 1990 -24 1991 40.64 1992 35.28 1993 26.55 1994 0.43 1995 32.29 1996 23.52 1997 38.42 1998 -1.14 1999 8.13 2000 21.83 2001 22.41 2002 -8.8 2003 64.01 2004 22.74 Average 19.9 Standard dev 31.8 Max 118.31 Min -51.64 |
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#24
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| Jose Bailen wrote: - quote - > The results of the Monte Carlo simulation are too pessimistic. An
But average arithmetic returns are misleading. It is the volatility> exercise I made some time ago is to download the historical data > supporting these results (they are available at the Ken French website: > http://mba.tuck.dartmouth.edu/pages/...a_library.html) > and, for 30 yrs periods, the lowest average real rate of return of the > typical small cap value portfolio was 8.1 percent (that was the 30-yr > period from 1946 to 1975) -the highest was the 30-yr period that ended > in 1961-. There are 49 30-year period observations -all the 30 year > periods starting the one that ended in 1956, so the results are > statistically significant. that matters when you are drawing down, especially early on as Jim pointed out. Remember that you're in a non-commutative regime if you are drawing down - order matters. - quote - > "A few very important caveats about these equations:
n was 1000 in this case.> They should not be used with small n. The assumptions upon which they > are based break down when n is less than 30. - quote - > Similarly, they should not be used with probabilities that are
The probabilities tested were not near zero or one.> extremely near zero or one unless a large number of samples are drawn. - quote - > One rule of thumb is that the estimate should be based on at least 5
There were ~440 trials with a positive outcome, and ~550 with a negative> trials with both outcomes- so if you are estimating the probability of > an event that has a very low true probability, you may have to take a > large number of samples before you have any evidence at all that the > probability is non-zero- but if you happen to draw a positive sample in > one of the first trials and stop soon thereafter, your probability > estimate may be wildly high. outcome. - quote - > These equations are pessimistic.
Given that the simulation does not use fat tails, I'd guess that theresults are optimistic. - quote - > Assumming that the previous two
I admit 1000 trials sounds low, but it sounds like you are suggesting it> conditions are met, they generally give margins of errors that are too > wide (or suggest that you should perform more trials than you really > need to). Personally, this is the direction I prefer to err in- I would > rather believe that my estimate is less accurate than it is, instead of > thinking that it is more accurate than the facts would support. > However, if you are trying to perform the absolute minimum number of > trials necessary to achieve a given level of confidence, you may wish > to find a tighter bound. only ran ~10 trials. -Will |
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#23
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| Jose Bailen wrote: - quote - > and, for 30 yrs periods, the lowest average real rate of return of the
The Lowest rate of return may have been 8.1% over 30 years, but Will's> typical small cap value portfolio was 8.1 percent (that was the 30-yr > period from 1946 to 1975) -the highest was the 30-yr period that ended > in 1961-. There are 49 30-year period observations -all the 30 year > periods starting the one that ended in 1956, so the results are > statistically significant. > > > But for how long? The Monte Carlo retirement simulator at the same site > > above only gives a 44% chance that her money will last 30 years. The > > volatility of returns is killer when you're drawing down... > > > -Will point that the volatility of the 8.1% is still on target. Many times over 30 years this would negative, IMO. There would be many occurances the small cap would be negative, and if those years occurred early in the cycle, it would compound problems even more. |
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#22
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| rick++ wrote: - quote - > ANother thing to factor is how many years until your
Rick,> mom gets social security. That might generate half > of the income she may need, allowing you to invest the > settlement more aggressively or help take counteract > inflation. Doesn't that assume she works until she dies? If she retires her earned income will go to zero. SSI (if it even exists in 25 years) would only provide a percentage of her original earned income. So, to maintain $50K in total income she would need even more support from her unearned income than before retirement. ____ "As much effort as we put into investing, is it fair to call it unearned income?" |
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#21
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| The results of the Monte Carlo simulation are too pessimistic. An exercise I made some time ago is to download the historical data supporting these results (they are available at the Ken French website: http://mba.tuck.dartmouth.edu/pages/...a_library.html) and, for 30 yrs periods, the lowest average real rate of return of the typical small cap value portfolio was 8.1 percent (that was the 30-yr period from 1946 to 1975) -the highest was the 30-yr period that ended in 1961-. There are 49 30-year period observations -all the 30 year periods starting the one that ended in 1956, so the results are statistically significant. This webpage at Harvard describes the caveats of the Monte Carlo simulation: http://www.eecs.harvard.edu/~ellard/...ot/node38.html "A few very important caveats about these equations: They should not be used with small n. The assumptions upon which they are based break down when n is less than 30. Similarly, they should not be used with probabilities that are extremely near zero or one unless a large number of samples are drawn. One rule of thumb is that the estimate should be based on at least 5 trials with both outcomes- so if you are estimating the probability of an event that has a very low true probability, you may have to take a large number of samples before you have any evidence at all that the probability is non-zero- but if you happen to draw a positive sample in one of the first trials and stop soon thereafter, your probability estimate may be wildly high. These equations are pessimistic. Assumming that the previous two conditions are met, they generally give margins of errors that are too wide (or suggest that you should perform more trials than you really need to). Personally, this is the direction I prefer to err in- I would rather believe that my estimate is less accurate than it is, instead of thinking that it is more accurate than the facts would support. However, if you are trying to perform the absolute minimum number of trials necessary to achieve a given level of confidence, you may wish to find a tighter bound. - quote - > But for how long? The Monte Carlo retirement simulator at the same site > above only gives a 44% chance that her money will last 30 years. The > volatility of returns is killer when you're drawing down... > -Will |
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#20
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| Elizabeth Richardson wrote: - quote - > I believe this is incorrect. Her investment will not be taxed. Insurance
Elizabeth, I'm afraid you are incorrect. First, the OP did not say> settlements are non-taxable events. Only the earnings will be taxed. > Elizabeth Richardson that it was a settlement, he said his mother "won" a lawsuit. Second, there is no such rule that "insurance settlements are non-taxable events." It doesn't matter who pays, it matters what the money is being paid to compensate, ie, general damages? special damages? punitive damages? Each of them have different tax treatment, and it also depends on which circuit court of appeal jurisdiction the OP lives in since the federal appellate courts are split on some of these issues. It may be true that the earnings in a structured settlement paid directly to the plaintiff as part of a settlement may not be taxable, but that does not mean that all insurance settlements are non taxable. The bottom line is there are a lot of issues involved that have to be reviewed and the OP needs to seek a tax professional who understands the tax implications of lawsuit damage awards and settlements. |
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#19
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| Jose Bailen wrote: - quote - > A way to meet your mother's income objective is to invest in a
But for how long? The Monte Carlo retirement simulator at the same site> portfolio of small value stocks. > On average, the rate of return of such a portfolio has been 12.13 > percent in REAL terms during the last 78 yrs (see > http://www.moneychimp.com/articles/i...mall_value.htm) > Of course, the down side is that you need to accept relatively volatile > returns (for instance., you may get a return of 60 percent one year and > minus 20 percent the next year) > This should provide the desired income, even after accounting for taxes. above only gives a 44% chance that her money will last 30 years. The volatility of returns is killer when you're drawing down... -Will |
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#18
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| ANother thing to factor is how many years until your mom gets social security. That might generate half of the income she may need, allowing you to invest the settlement more aggressively or help take counteract inflation. |
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#17
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| ANother thing to factor is how many years until your mom gets social security. That might generate half of the income she may need, allowing you to invest the settlement more aggressively or help take counteract inflation. |
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#16
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| A way to meet your mother's income objective is to invest in a portfolio of small value stocks. On average, the rate of return of such a portfolio has been 12.13 percent in REAL terms during the last 78 yrs (see http://www.moneychimp.com/articles/i...mall_value.htm) Of course, the down side is that you need to accept relatively volatile returns (for instance., you may get a return of 60 percent one year and minus 20 percent the next year) This should provide the desired income, even after accounting for taxes. |
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#15
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| t[at]toddh.net (Todd H.) writes: - quote - > joetaxpayer <joetaxpayer[at]nospam.com> writes:
The biggest problem is probably that when one says "annuities"> > gotcode[at]gmail.com wrote: > > > > Thank you all for your input. I think that at this point, I'm going to > > > seek the advice of a professional. Thank you all! > > > -Ryan > > > May I stress the point, choose a fee-based pro, not commission > > based. And if he suggests any kind of annuity, walk away, and seek out > > someone else. > What's so wrong with annuities for an older investor such that the > suggestion of them is worthy of a litmus test? there are many different things that can mean. Mainly, two variables implying four different types - deferred vs. immediate and variable versus fixed (the latter potentially inflation adjusted). A traditional pension, once it starts paying out, is basically an immediate fixed annuity. And potentially a very useful tool for a risk-averse investor who needs a predictable cashflow (ie. to live on). Unfortunately, the thing folks need to be very wary of - the thing which is often pushed (ie. sold very hard) is the deferred variable annuity. I'm much harder pressed to come up with scenarios where a deferred VA is the right choice. Sadly, they are sold all the time and very often to folks for whom they are entirely innapropriate. -- Plain Bread alone for e-mail, thanks. The rest gets trashed. No HTML in E-Mail! -- http://www.expita.com/nomime.html Are you posting responses that are easy for others to follow? http://www.greenend.org.uk/rjk/2000/06/14/quoting |
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#14
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| joetaxpayer <joetaxpayer[at]nospam.com> writes: - quote - > Todd H. wrote:
doh. Hee hee. Nuff said! I missed that.> > What's so wrong with annuities for an older investor such that the > > suggestion of them is worthy of a litmus test? > > I honestly don't much about annuities other than I know someone in > > her > > 70's that has at least one somewhere who is generally pretty sharp > > with her money. > > Best Regards, -- > > Todd H. http://www.toddh.net/ > She's 40. - quote - > For other annuities, I'll spare the group a repeat of my VA rants.
Hee hee... gotcha!-- Todd H. http://www.toddh.net/ |
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#13
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| "kastnna" <kastnna[at]auburnalum.org> wrote in message news:1167933622.171404.213860[at]51g2000cwl.googlegroups.com... - quote - > I meant the earnings on the 300K would be
Yes, all the earnings would be taxable, unless, of course, she were to> taxed every year. So she would need more than 8.33% to have $25K in > spendable dollars. invest in something like muni bonds, when she gives up the earnings she so desperately needs. The MORE than 8.33% escalates if she spends any of the $300k principal. Elizabeth Richardson |
| Tags |
| 300k, invest, live, year |
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