OAT 10-year
France—
- 1 month
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- 1 year
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Projects · Ongoing
An attempt to quantify how some securities behave from cross-referenced information: when several stocks or rates move together, what trend emerges? The calculation is purely probabilistic and probably not very realistic. It is made just to see, and to learn, up to building a virtual stock basket.
A personal, educational exercise. Nothing on this page is investment advice. Read the full disclaimer
The dashboard
Four French stocks, three US stocks, four indices and four 10-year government rates (France, Germany, Italy, United States). Choose what to compare and the period: prices refresh every minute, and history goes back five years.
French stocks
US stocks
Indices
Rates
Click a series to add it to the chart or remove it. The “?” explains what it is.
Loading quotes… Stocks and indices rebased to 100 at the start of the period, 10-year rates in % on the right axis. Delayed data, for information only. Sources: Yahoo Finance, CNBC.
Trends and spreads
The cost of money for four States, its one-month trend, and the spreads between France, Germany and Italy: when a spread widens,markets see the more expensive country as riskier. To understand what these rates change for France, see Explain French public debt.
Rates
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Spreads
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What France pays on top of Germany.
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What Italy pays on top of Germany.
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The gap between Italy and France. Negative: Italy borrows more cheaply.
Trend over one month. For a rate: under 5 basis points (bp), stable; 5 to 20 bp, rising or falling; beyond that, sharp. For a spread, the same steps at 3 and 10 bp. 100 bp = 1 percentage point. One-year sparklines, at the last close.
Just to see
A first try, on the fifteen series of the dashboard: choose two moves on the same day and see what a series did the next day, compared with usual.
Computed in your browser, on the daily history of the last five years.
The thinking
Which securities move together, which move apart, and does it last over time?
Does a security react with a delay to another one, to the OAT rate or to the oil price?
When several signals happen at the same time, what most often happens next?
Turn all this into observed frequencies, without claiming to predict: a calculation to see, not an oracle.
Put together a few securities chosen from these trends, then follow the basket over time, like a virtual portfolio.
The stock basket
Next step: move from observations to a basket of a few securities, and follow it over time as a virtual portfolio. The aim is to measure whether the trends spotted hold up, not to make money.
No order placed, no money committed: the basket only exists on paper.
Selection criteria, the weight of each security (equal weights, for example) and the review frequency are set before starting.
The basket is judged against an index such as the CAC 40, over the same period, to see whether it beats the plain market.
Every composition and every change stays visible, including when the basket gets it wrong.
The approach
Prices of stocks, rates, commodities and indices, day by day, over several years.
Rolling correlations and lags between series, to see what moves together and what leads what.
Combine simple events (a rise, a fall, a threshold crossed) and count what follows.
Compare the frequency observed after the conjunction with the usual frequency, alongside the number of cases.
Check on another period that a gap is not mere chance before giving it any credit.
Pick a few securities according to rules written in advance, then follow this virtual basket against a benchmark index.
Disclaimer