在決定要集中或分散持股之前
必須先弄清楚一個關鍵:買錯股機率多高?
亦即買了之後賠20%機率多高?
根據我自己和同學的經驗,買錯股機率大概就是3成。
Before deciding whether to concentrate or diversify your stock holdings, it's crucial to first address a key question: What is the likelihood of selecting the wrong stock? In other words, how likely is it that the stock you purchase will drop by 20%? From my own and my students' experiences, the probability of choosing the wrong stock is approximately 30%.
買錯股所有人檢討的結論一定是加強研究,
多拜訪公司,深入挖掘財報,廣泛閱讀財經媒體,
再佐以技術分析等等。
一個殘酷的事實擺在眼前卻是
這3成買錯股機率無法大幅降低,
連投資大神也一樣,
巴菲特常常買錯股,
孟格生平最後一檔持股即栽在阿里巴巴上。
The conclusion drawn from the review of everyone who has made incorrect stock purchases is always to intensify research. This involves visiting companies more frequently, delving deeper into financial statements, extensively reading financial media, and supplementing with technical analysis, among other strategies.
A harsh reality stares us in the face: the probability of making incorrect stock purchases, at 30%, cannot be significantly reduced. Even investment gurus face the same challenge. Warren Buffett frequently makes incorrect stock purchases, and Charlie Munger's final stock investment was mistakenly placed in BABA.
3成買錯機率若集中押注在少數幾支,績效容易大好大壞,
押對了就大好,錯了即大壞,最終以大壞收場,
只要最後一次押錯就前功盡棄,注定破產。
When this 30% probability of making incorrect purchases is concentrated in a few stocks, performance can swing dramatically. Making the right choices leads to significant gains, while incorrect decisions result in substantial losses, ultimately leading to adverse outcomes. Just one misstep can undo all prior successes, potentially leading to bankruptcy.
如何降低大好大壞的偏差?
統計學的區間估計提供解決的辦法。
選股就是統計學的抽樣,
選錯股機率3成,即勝率(p) 70%
可是抽樣得到的結果不會每次剛好70%,而是有偏差,
例如只挑一支,選對的話勝率100%,錯則勝率為0,
若選5檔股票,勝率將介於29%到100%之間,
......
隨著樣本數增加,勝率很可能落在正負2個標準差之內。
How to reduce the bias of extreme outcomes?
Interval estimation in statistics provides a solution. Stock selection is like statistical sampling. The probability of picking the wrong stock is 30%, meaning the success rate (p) is 70%. However, the results from sampling won't always be exactly 70%, as there will be some bias.
For example, if you only pick one stock, the success rate is either 100% if correct or 0% if wrong. If you pick 5 stocks, the success rate will range between 29% and 100%.
......
As the sample size increases, the success rate is likely to fall within plus or minus two standard deviations.
上述「勝率很可能落在正負2個標準差之內」換成統計術語為:
在信心水準95%之信賴區間為正負2個標準差s
[p - 2s, p + 2s] = [70% - 2s, 70% + 2s]
信心水準95%即白話文的「很可能」
The statement "The success rate is likely to fall within plus or minus two standard deviations" can be expressed in statistical terms as:
At a 95% confidence level, the confidence interval is plus or minus 2 standard deviations (s), written as:
[p−2s,p+2s]=[70%−2s,70%+2s]
In this context, a 95% confidence level is equivalent to saying "very likely" in common language.
標準差指資料之間的平均距離
=[px(1-p)/n]^0.5 = [70%x30%/n]^0.5
樣本數n
The standard deviation refers to the average distance between data points.
= [px(1-p)/n]^0.5 = [70%x30%/n]^0.5
Sample size n

n=1, [0, 100%],單押1支勝率很可能為0或100%
n=5, [29%, 100%],僅押5支勝率很可能落於29%到100%之間
以上均顯示績效大好大壞
When n=1, [0, 100%], there is a high likelihood that the winning rate for a single bet could be either 0% or 100%.
When n=5, [29%, 100%], with only five bets, the winning rate could likely range from 29% to 100%.
Both scenarios demonstrate significant variability in performance, ranging from very poor to very good.
n=100, [61%, 79%],買到100支勝率很可能落於61%到79%之間,
勝率至少61%算是可接受水準,這是我建議至少買100支持股的原因
When n=100, [61%, 79%], buying 100 stocks could likely result in a winning rate falling between 61% and 79%.
A winning rate of at least 61% is considered acceptable, which is why I recommend purchasing at least 100 stocks.
上述至少買100檔持股的統計證明相當重要,
分散或集中持股不再是見仁見智沒有結論的議題,
而是必須遵守的準則。
也給足大家信心,
持股100支以上績效大壞的可能性低,
不必每天緊張兮兮關注股市,
有更多時間去吃喝玩樂
The above statistical evidence underscores the significance of holding a minimum of 100 stocks in your portfolio. Whether to diversify or concentrate one's holdings is no longer a debatable issue, but a guideline that must be followed. This also gives everyone confidence that the likelihood of poor performance with holding more than 100 stocks is low. There is no need to be nervous and pay close attention to the stock market every day, instead, we can spend more time enjoying life.
買超過100檔持股不用擔心績效會不好,
因為我們並非亂槍打鳥,
而是從預期年報酬率大於15%的入圍名單中選股。
100支以上持股的績效會穩定趨向15%年報酬率。
Buying over 100 stocks, there's no need to worry about poor performance because we're not shooting blindly. Instead, we choose stocks from a list of candidates with expected annual returns greater than 15%. A portfolio holding over 100 stocks will tend to stabilize towards a 15% annual return rate.
持股夠分散才可能長期投資,
即便是好公司,股價也可能長期不振,
台積電在大漲到2022年688元之前
2003-2011年長達9年在40-80元區間盤整,
單押一檔台積電的投資人十分難熬,不容易抱得住。
Diversified holdings are crucial for long-term investment success. Even well-performing companies can experience extended periods of stagnant stock prices. For instance, TSMC's stock price fluctuated between 40 and 80 TWD from 2003 to 2011, remaining in this range for nearly nine years before it soared to 688 TWD in 2022. Investors who exclusively held TSMC shares found this period particularly challenging to endure and difficult to maintain their investment.
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