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Financial Models That Answer Your Questions Before You Ask Them

Most analysts build spreadsheets. We teach you to build decision trees—financial frameworks that predict market shifts and guide strategic choices through structured questioning. Starting August 2025.

Which valuation approach fits this scenario?
→ High growth, negative cashflow
→ Stable dividends, mature sector
→ Asset-heavy, distressed situation
Financial market analysis and trend visualization

Reading Markets Through Pattern Recognition

Philippine markets don't always follow textbook patterns. Currency fluctuations, regulatory shifts, and regional economic cycles create unique modeling challenges.

Our approach focuses on building adaptive frameworks that respond to local market conditions while maintaining global standards. You'll learn to spot inflection points before they become obvious.

Currency Impact Modeling
How exchange rate volatility changes your DCF assumptions and what to adjust first
Sector Rotation Patterns
Identifying capital flow shifts across Philippine market sectors before earnings reflect them
Regional Economic Indicators
Connecting infrastructure development timelines to long-term revenue projections

Three Modeling Approaches We Actually Use

Forget building massive models that take weeks to update. These frameworks solve specific problems and give you answers the same day.

Decision-Tree Valuation

Build models that ask the right questions first. If the company burns cash, your model should skip dividend discount methods automatically.

  • Conditional logic that changes methodology based on inputs
  • Scenario branches for different market conditions
  • Automated assumption adjustments

Sensitivity Matrices

When you don't know the exact discount rate or growth assumption, show stakeholders all possible outcomes in one view.

  • Two-variable grids showing outcome ranges
  • Color-coded risk zones
  • Monte Carlo simulation integration

Comparable Analysis Frameworks

Stop manually updating comp tables. Build dynamic systems that pull fresh data and highlight valuation outliers immediately.

  • Automated peer selection criteria
  • Multiple valuation ratio comparisons
  • Statistical outlier detection

What 14 Weeks Looks Like

Our autumn 2025 cohort runs September through December. Each phase builds practical capability—no theoretical filler.

01

Foundation & Market Context

Weeks 1-3

Financial statement analysis specific to Philippine market reporting standards. Understanding what numbers mean before you model them. Covers currency considerations and regional sector characteristics that affect modeling assumptions.

02

Core Valuation Techniques

Weeks 4-7

DCF models that adjust for emerging market risk premiums. Comparable company analysis when local peer groups are limited. Asset-based approaches for property-heavy Philippine firms. You'll build three complete models during this phase.

03

Advanced Frameworks

Weeks 8-11

Decision-tree logic that chooses valuation methods based on company characteristics. Sensitivity analysis across multiple variables simultaneously. Scenario modeling for regulatory changes, currency shifts, and sector disruption.

04

Capstone Project

Weeks 12-14

Full valuation analysis of a Philippine-listed company. Your choice of sector, your modeling approach, but with detailed feedback. Present to practicing analysts who'll question your assumptions—good preparation for actual client work.

Financial modeling training and analyst development
Professional financial analysis workspace

Who Teaches This

Two instructors with different backgrounds. Both still work as analysts, which means the material stays current and practical.

Dragan Kovacevic financial modeling instructor

Dragan Kovacevic

Equity Research Lead

"I rebuilt our valuation framework three times before realizing simple decision logic beats complex calculations. Now our models update in minutes, not hours."

Svetlana Markov market analysis instructor

Svetlana Markov

Portfolio Strategy Advisor

"Emerging markets require different modeling assumptions. Currency volatility alone can invalidate your entire DCF if you don't build flexibility into the framework from day one."