



| Account | This month | 2026 Cumulative Amount | ||
| KRW | USD | KRW | USD | |
| Pension Saving Fund | – | – | 6.0M | – |
| ISA | – | – | ||
| IRP | – | 3.0M | ||
| Roth IRA | – | $2,500 | – | $7,500 |
| Total | – | $2,500 | 9.0M | $7,500 |
| ETF | Month-over-Month Change | Qty | Target | % | |||
| KODEX S&P500 | 0 | 4,750 | 10,000 | 47.5% | |||
| KODEX NASDAQ100 | 0 | 3,952 | 8,000 | 49.4% | |||
| TIGER TDF2045 | 0 | 705 | 1,500 | 47.0% | |||
| VOO | 4 | 53 | 300 | 17.6% | |||
I added the remaining $2,500 to my Roth account and officially maxed out this year’s contribution limit of $7,500.
As the exchange rate climbed past 1,500 KRW per USD, I updated the Y-axis maximum of my USD/KRW chart to 1,600. 1,500… I still can’t quite believe it.
From the perspective of someone earning in foreign currency, a stronger dollar is generally a good thing.
But right now, I need to move some KRW into the U.S., so this high exchange rate feels frustrating.
If that weren’t the case, I probably would have exchanged more currency and picked up some Korean stocks to hold long term.
At work, we’re currently reviewing a 401(k) provider (U.S. retirement plan).
I got involved partway through the process, but by then the provider had already been selected.
As I dug into the details, I noticed that while the setup cost was low, the expense ratios of the available funds were extremely high—around 1.35% to 1.8% annually.
Worse, those fees are charged not on the principal, but on the portfolio’s evaluated value each year.
These funds don’t even beat the S&P 500 and come with higher volatility—so charging that level of fees just didn’t make sense to me.
I pushed back and, as a Boglehead, suggested we should look for a different provider.
After researching alternatives, I found another provider with slightly higher setup costs but significantly lower fund expense ratios (as low as 0.015% annually)
Naturally, I recommended the latter.
But the response I got was essentially: “How much difference can 1.xx% really make?”
It was frustrating, but I stayed calm and decided to present objective data.
Using Excel with a Claude plugin, I set up a comparison:
- Assumed annual return: 15% for both funds
- Fund A fee: 1.38%
- Fund B fee: 0.015%
- Annual investment: $10,000
- Time horizon: 20 years
I generated a table and graph comparing the final portfolio value and total fees paid.
After fixing a few template and formula issues, the results turned into a pretty compelling dataset.
Now I’m waiting for feedback. Let’s see how it goes.
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