Lebanon Capital Flows

Lebanon · Quarterly series · EC-LB-CF

Latest, Q4 2022

2.01B USD

+86.3% from Q3 2022

Open interactive chartLebanon Capital Flows in the app

5.756B1.835B-2.086BQ3 2003Q4 2023
History through Q4 2022, the forecast path to Q4 2023 (dashed) and its 80% interval (shaded).

Forecast

Forecast for Q4 2023: 1.91B USD, with an 80% interval of 460.9M USD to 3.39B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
Q1 20231.90B USD-543.3M USD4.38B USD
Q2 20231.91B USD226.3M USD3.63B USD
Q3 20231.90B USD-1.23B USD5.16B USD
Q4 20231.91B USD460.9M USD3.39B USD

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Mixed evidence

The tests show no consistent, material advantage over the no-change baseline.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+31%Beats the no-change baseline over 8 tests (8 tests, 4 won)
Direction
69%No clear edge over a coin flip (22 of 32 calls right in 8 tests)
Turning points
3 of 15Anticipated some turns (15 turns in 8 tests, 0 without a turn)
Error vs baseline
31% lowerError ratio 0.69; 1.00 is a tie.
Tests won
4 / 8Complete rolling backtests; ties count as no win.
Test period
2015-03-01 to 2022-12-014 observations ahead per test.
80% band coverage
84%Observed outcomes inside the band across all stored test windows.
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Replay past tests

Model comparison

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

It is above 51% of the 39 earlier readings since Q1 2013.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
Q4 20222.01B USD
Q3 20221.08B USD
Q2 20222.76B USD
Q1 2022807.1M USD
Q4 20214.43B USD
Q3 2021-136.0M USD
Q2 2021663.9M USD
Q1 20211.81B USD
Q4 2020909.5M USD
Q3 20205.13B USD
Q2 2020707.0M USD
Q1 20204.78B USD
Q4 2019-1.52B USD
Q3 201985.3M USD
Q2 20194.89B USD
Q1 20193.89B USD
Q4 20182.77B USD
Q3 2018686.1M USD
Q2 20181.26B USD
Q1 20181.57B USD
Q4 20171.82B USD
Q3 20173.88B USD
Q2 20173.20B USD
Q1 20171.67B USD

Source

Data: public market data feeds.

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