yen_scenarios
Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-10-24, from gis-dividend-for-japanese-investors.
| rate_label | gross_jpy | nisa_net_jpy | taxable_account_net_jpy | change_per_10yen_jpy |
|---|---|---|---|---|
| 1ドル=130円 | 317 | 285 | 227 | 24 |
| 1ドル=140円 | 342 | 307 | 245 | 24 |
| 1ドル=150円 | 366 | 329 | 262 | 24 |
| 1ドル=160円 | 390 | 351 | 280 | 24 |
| 1ドル=170円 | 415 | 373 | 297 | 24 |
- Rows × columns
- 5 × 5
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
rate_label |
text | 5 distinct values (1ドル=130円, 1ドル=140円, 1ドル=150円…) | |
gross_jpy |
number | 317 to 415 | |
nisa_net_jpy |
number | 285 to 373 | |
taxable_account_net_jpy |
number | 227 to 297 | |
change_per_10yen_jpy |
number | every row is 24 |
Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.
Run it yourself
This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.
WITH
(
SELECT argMax(toFloat64(cash_amount), ex_dividend_date)
FROM global_markets.stocks_dividends
WHERE ticker = 'GIS'
AND ex_dividend_date <= today()
) AS quarterly_usd
SELECT
concat('1ドル=', toString(usdjpy), '円') AS rate_label,
toUInt32(round(quarterly_usd * 4 * usdjpy)) AS gross_jpy,
toUInt32(round(quarterly_usd * 4 * usdjpy * 0.90)) AS nisa_net_jpy,
toUInt32(round(quarterly_usd * 4 * usdjpy * 0.90 * (1 - 0.20315))) AS taxable_account_net_jpy,
toUInt32(round(quarterly_usd * 4 * 10)) AS change_per_10yen_jpy
FROM
(
SELECT arrayJoin([130, 140, 150, 160, 170]) AS usdjpy
)
ORDER BY usdjpy
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