This month I poured extra cash into the investment account effectively zeroing out the leverage exposure.

This is an issue I had not considered when I structured my accumulation plan . https://getqu.in/G2SujF/ .

I should probably increase pac purchases when I have extra income and not reduce the level of leverage implemented.... I have a few days before my next purchase and want to think about it. I would appreciate your views on this.

Anyway, today the broker entered orders again balancing the percentages of the ETFs in the plan:

• $IWDA (+0.82%) 31 shares at 106.665
• $XDEV (+1.61%) 11 shares at 47.387

The portfolio plotted by getquin reports a total amount of about 375k recording some deviation from the actual. i am not clear where the deviation comes from, perhaps from the miscalculation of double taxation on some dividends. I will try to solve it shortly.

#etfs
#dividends
#portfolio
#portafoglio
#fire
#retirement
#leverage
#pac

Today the first orders of my new automatic accumulation plan will be placed in the market. Each month, on the first and fifteenth days, my broker will place orders for 4,000 euros, automatically rebalancing the portfolio holdings of these instruments according to the following weights:

$IWDA (+0.82%) 50% | $XDEV (+1.61%) 37,5% | $IEMA (+1.19%) 12,5%

Why did I choose these ETFs?

◾ Right now my portfolio is 98% composed of distribution instruments. This all-accumulation PAC aims to correct this drift, at least partially.

◾To realign the portfolio to the market with a slight tilt value: I believe that some segments of the market are overvalued and will have lower returns in the coming years. At the same time, however, I believe in passive investing and do not want to deviate too much from the market with excessive tilts. Today this tilt in my portfolio already exists--think Nvidia weighs only 0.5 percent of my total exposure.

How do I finance my €8,000 per month plan?

It is not an inheritance, not a win-win, I do not sell courses or do scams. In the next post I will explain in detail my thoughts and misgivings about it.

#etfs
#etfs#iwda

#pac
#fire
#fireitalia
#portafoglio
#portfolio
#portafoglio

estimated reading time: 4 minutes

Twenty years ago, the new market crash wiped out my first stock market money and my ego. I swore off the stock market, but my pension certificate showed me that ducking out has an expiry date.

So the first attempts to start again followed. Here on Getquin, I have learned from positive critical voices from e.g. @DonkeyInvestor and @Epi that there is more to it than "just picking something". Since my last post 6 months ago, this was followed by extreme late-night brooding, Excel monsters, AI research, reading Kommer and countless "new agains".

I have tried to read up on modern optimization models such as Mean-Variance, Black-Litterman and Fama-French etc. and implement them in the best possible way.

The result was this portfolio!

As thoroughly tested as you can in a private garage, and coupled with the insight that we only have to leave the uncontrollable to chance.

And one thing first. I am convinced of this and will not change it.

I just want to share my thoughts and ideas about the direction with you. It's difficult to really explain every detail here, I'm sure I could do it better in a conversation, but that's not possible here. I can assure you that the selection and combination definitely makes sense - at least for me and the construct. Among other things, it was important to me to be able to control individual regions separately. I think I have achieved that.

Global (30%)

- SPDR MSCI All Country World, $SPYY (+0.76%)

- L&G Global Equity UCITS ETF, $LGGG (+0.62%)

- iShares Edge MSCI World Momentum, $IS3R (+2.09%)

- Xtrackers MSCI World Value, $XDEV (+1.61%)

- Invesco Global Active ESG Equity, $IQSA (+1.05%)

- VanEck World Equal Weight Screened, $TSWE (+1.12%)

- VanEck Morningstar Developed Markets Dividend Leaders, $TDIV (-0.04%)

USA (31.5%)

- L&G US Equity, $LGUG (+0.89%)

- iShares MSCI USA Mid-Cap Equal Weight, $IUSF (+1.22%)

- JPMorgan BetaBuilders US Small Cap Equity, $BBCS (+1.67%)

- SPDR MSCI USA Small Cap Value Weighted, $ZPRV (+1.74%)

Europe (17.5%)

- HSBC EURO STOXX 50, $H50A (+0.48%)

- L&G Europe ex-UK Quality Dividends Equal Weight, $LDEG (-0.16%)

- SPDR MSCI Europe Small Cap Value Weighted, $ZPRX (-0.13%)

Emerging markets (19%)

- iShares Edge MSCI Emerging Markets Value Factor, $5MVL (+1.2%)

- UBS LFS MSCI Emerging Markets ETF, $EMMUSA (+0.95%)

- L&G Emerging Markets Quality Dividends Equal Weight, $LDME (+0%)

- SPDR MSCI Emerging Markets Small Cap, $SPYX (+1.63%)

Japan (2%)

- L&G Japan Equity UCITS ETF, $LGJG (+0.9%)

Ø TER = 0.25%

In summary, this gives the following breakdown

Regional breakdown

- USA (North America) ~ 48%

- Asia ~ 22%

- Europe ~ 22%

- UK ~ 3.6%

- Japan ~ 4.4%

Market capitalization

- Large Cap ~ 52%

- Mid Cap ~ 26%

- Small Cap ~ 22%

The portfolio deliberately allocates its capital to the regions and - where possible - to all capitalization classes. The world building blocks provide the global beta; value, momentum and quality satellites add factor premiums. In the USA, a complete large/mid/small stack provides a pronounced size bias, while Europe receives a value bias via quality and small value ETFs. The emerging layer combines large-cap value stocks, quality leaders and a small-cap module - a diversification anchor beyond the developed markets.

Due to the almost equal weighting of the 18 positions, the Herfindahl index of ETF weights falls to ~633; indirectly, the portfolio contains several thousand individual stocks. The weighted TER is ≈ 0.25 % p. a., spreads below 0.1 %. This means that, compared to a $GERD (+1.08%) a favorable multifactor portfolio myself.

The factor tilts (value 42 %, size 35 %, quality/div ≈ 12 %, momentum ≈ 8 %) increase the expected volatility moderately to 18-20 % p.a.; however, historical data on small and value indices indicate 1-2 percentage points additional return over long horizons. Large caps remain present at around 52 %, mid caps at 26 % and small caps at 22 % support the size premium .

With my "multi-factor all-cap portfolio", I combine global market coverage with five proven premiums, without cost or concentration ballast. Of course, I will have to endure additional fluctuations, but I believe that I have created a robust source of returns over the long term.

I have tried to consider everything and leave nothing to chance, except the uncontrollable.

Anyone who has made it this far. Thanks for reading.

I'm looking forward to your feedback.

PS:

YES, I have Bitcoin😉 and also two themed ETFs. They just stay like that.

- ARK AI & Robotics ETF, $AAKI (+1.82%)

- HanETF Future of Defense ETF, $ASWC (+0.18%)

- ETC GROUP CORE BITCOIN, $BTC1 (+1.79%)

---

no investment advice; DYOR

Thanks also to @VPT , @Mister_ultra , @Ph1l1pp , @ShrimpTheGimp , @MoneyISnotREAL , @Staatsmann and @Smudeo for commenting and providing approaches.

Hello dear community,

Recently my portfolio and its logic was presented in an article by Business Insider and analyzed by Konrad Kleinfeld from SPDR. There was some exciting feedback, but of course I would also like to activate your swarm intelligence and get your feedback 🙂

First of all: Although I am pursuing a core-satellite strategy, the "satellite" does not aim to outperform, but is simply for fun and offers room for investments that do not fit into the logic of the core. The satellite consists largely of ETFs (e.g. in commodities, real estate, private equity, REITs, etc.), but only accounts for <10% of the overall portfolio and is not included here.

My goal is broad diversification that goes beyond a pure market capitalization-based index as well as long-term returns.

In doing so, I rely on a rule-based approach and diversify along factors based on the selection criteria of the indices. As I deliberately do not want to make any sector or regional bets in the "core", but instead focus purely on the selection criteria of the indices, the relatively significant dividend block serves to reduce the US lump, as high-dividend companies are more frequently found in Europe.

Since the portfolio is quite granular, the portfolio overview function would be very confusing, so I hope it is easy to understand in text form:

1. MSCI World Block (40%):

$SPPW (+0.78%) MSCI World (10%)

$XDEM (+2.01%) MSCI World Momentum (10%)

$XDEQ (+0.46%) MSCI World Quality (10%)

$XDEV (+1.61%) MSCI World Value (5%)

$WSML (+2.12%) MSCI World Small Cap (5%)

Momentum, Quality and Size in the sense of the "normal", market-capitalized MSCI World are weighted slightly higher, as they have historically performed better and should logically perform better in a long-term positive market environment.

2. emerging markets block (20%):

$SPYM (+1.18%) MSCI Emerging Markets (6.67%)

$SPYX (+1.63%) MSCI Emerging Markets Small Cap (6.67%)

$5MVL (+1.2%) MSCI Emerging Markets Value (6.67%)

⚠ There are currently no ETFs on the MSCI EM Quality and MSCI EM Momentum indices that are available in UCITS form and tradable in Europe. Therefore, the logic of the EM block does not yet exactly reflect the structure of the World block. As soon as these ETFs are available, the block will be adjusted accordingly. Consequently, the "normal" MSCI EM as well as the value factor and small caps are currently equally weighted here.

3rd Dividend block (30%):

$VHYL (+0.4%) FTSE All-World High Dividend Yield (5%)

$TDIV (-0.04%) Developed Markets Dividend Leaders (10%)

$ISPA (+0.36%) Global Select Dividend 100 (10%)

$ZPRG (+0.2%) S&P Global Dividend Aristocrats (5%)

As mentioned, this block serves 1) to reduce the US lump, is also distributing and thus provides cash flow, which 2) is used for rebalancing at the end of the year (so I don't have to spend any additional capital on this, which has a psychological effect for me) and 3) the monthly distributions motivate me to continue investing intensively. In addition, 4) the tax-free allowance is utilized without having to actively sell shares in the other "blocks". The top 10 holdings of the individual ETFs differ greatly here despite the common denominator of "high yield". However, the financial sector is a large lump. The weighting here is derived from the high yield and diversification in the sense of complementing the other "blocks" (i.e. little tech and little US).

4. hedge bonds (10%):

$IBCI (+0.13%) Euro Inflation Linked Government Bond (10%)

My equity allocation is (roughly) based on the rule "120 minus age", so 10% is currently left for bonds. The purpose of a bond block in the portfolio is stabilization and further diversification. With shares, I give a company capital, i.e. I become a stakeholder in the company. Corporate bonds have the same logic, because here I am also giving capital to companies. That's why I opted for government bonds in the eurozone. TIPS have performed comparatively well here in the past and the logic of inflation-linked interest rates also appeals to me.

📈 Additional considerations:

1. i deliberately do without the "Low / Min Volatility" factor, as i assume a rising market in the long term and would like to participate more in the positive phases instead of reducing the vola.

2) I don't see overlaps between ETFs as a problem, but rather as a deliberate overweighting of companies that fulfill several criteria at the same time. Of course, many companies currently overlap in the classic MSCI World and the Quality and Momentum variants. However, the selection criteria are different and as soon as a company no longer meets the quality criteria, for example, it automatically drops out of the index and the weighting is reduced without me having to actively do anything about it.

3) I have actively decided not to invest in a multi-factor ETF because I want to have transparent control over the allocation of the individual factors and many of the factor ETFs available combine the selection criteria underlying the individual factors in such a way that the corresponding product would have performed well in the past, which of course represents a hindsight bias and does not necessarily correlate with future performance.

💡 To those of you who have read this far:

First of all, thank you for your time! The portfolio is intended to dynamically reflect a section of the market that could develop positively in a diversified manner based on the different selection criteria of the indices, without taking bets on specific sectors or regions. What do you think of the allocation and the strategy? Do you see any room for improvement or things you would do differently?

Thanks for reading, showing interest and thinking along. 😊

#etfs
#portfolio
#portfoliocheck