A Seven-Factor Robo-Advisory Framework for a Frontier Market: Risk Profiling, Glide-Path Allocation, and Monte Carlo Goal-Probability for Mongolian Retail Investors

Methodology working paper documenting the Metricon Score, a seven-factor robo-advisory framework for the Mongolian Stock Exchange (an extreme frontier market). It covers Likert-based risk profiling with a published weighted-mean aggregator, a five-tier glide path between the MSE TOP-20 index and the SIB-5 12-month MNT term-deposit rate, a deterministic future-value projection, and a 1,000-path two-sleeve geometric Brownian motion Monte Carlo goal-probability engine. An empirical-validation section reproduces every figure with a self-contained numpy-only reference implementation (included) and identifies a variance-drag calibration correction. All calibration uses publicly available MSE and SIB-5 data.