Question 1

Walk me through how you build a DCF model to value a manufacturing company listed on HOSE. How do you determine the discount rate (WACC) in the Vietnamese market context?

Accepted Answer

DCF process: (1) Forecast Free Cash Flow (FCF = EBIT × (1-t) + D&A - CapEx - ΔNWC) over 5-10 years; (2) Calculate Terminal Value (Gordon Growth Model: TV = FCF_n × (1+g) / (WACC-g), or Exit Multiple); (3) Calculate WACC = Ke × (E/V) + Kd × (D/V) × (1-t). Vietnam-specific WACC inputs: Beta from HOSE market (adjusted for thin trading), Vietnam Equity Risk Premium (~8-10% vs ~5% for US), risk-free rate from 10-year Government bonds (currently ~4.5-5%), Country Risk Premium per Damodaran (~2.5%). Strong candidates mention Vietnam-specific challenges: (a) Low stock liquidity distorting Beta; (b) Many companies lack 5-year financial history; (c) Need to adjust for unusually high dividend policies of many equitized SOEs; (d) USD/VND exchange rate and inflation risk in long-term forecasts. Mention VAS 14 (Revenue) and VAS 16 (Fixed Assets) influencing FCF calculations.

Question 2

Explain how the three financial statements (Balance Sheet, Income Statement, Cash Flow Statement) are linked. In a 3-statement model, if revenue increases by 10%, which line items are affected and in what sequence?

Accepted Answer

Linkages: (1) Net profit from Income Statement → Retained Earnings on Balance Sheet; (2) Depreciation from Income Statement is an add-back on Cash Flow Statement; (3) Working capital changes (AR, Inventory, AP) from Balance Sheet → Cash Flow Statement; (4) CapEx on Cash Flow Statement → increases Fixed Assets on Balance Sheet. Impact of +10% revenue: Revenue → COGS (as % of revenue) → Gross Profit → EBIT → EBT → EAT → Retained Earnings → Total Equity → Balance Sheet balances. Simultaneously: AR increases per Days Sales Outstanding → Working Capital increases → Operating CF decreases (unless cash sales). Excellent candidates know how to check model integrity: Balance Sheet must balance (Total Assets = Total Liabilities + Equity); Cash Flow Statement must reconcile with the change in cash on the Balance Sheet. Mention VAS 24 (Cash Flow Statement) and Circular 200/2014/TT-BTC - Vietnamese financial statement format differs from IFRS in some aspects (classification of interest paid).

Question 3

You are asked to analyze the financial health of a major Vietnamese retail company. Which ratio groups would you use and explain the significance of each in the context of Vietnam's retail industry?

Accepted Answer

5 ratio groups: (1) Liquidity: Current Ratio (Vietnamese retail: 1.0-1.5), Quick Ratio, Cash Ratio; (2) Efficiency: Inventory Turnover (Vietnamese retail: 6-12x/year), DSO, DPO, Cash Conversion Cycle; (3) Leverage: D/E ratio, Interest Coverage (minimum 3x); (4) Profitability: Gross Margin (retail: 20-35%), EBITDA Margin, ROE (DuPont: ROE = Net Margin × Asset Turnover × Equity Multiplier), ROCE; (5) Valuation: P/E, EV/EBITDA, P/B. Vietnamese retail benchmarks: compare with MWG, FRT, DGW. Strong candidates know Vietnam retail industry characteristics affecting ratios: (a) High cash payments (lower DSO but higher risk); (b) Shorter supply chains (higher inventory turnover); (c) Leased premises (off-balance sheet under VAS vs. IFRS 16 on-balance sheet); (d) E-commerce platform impact on margins. Mention DuPont analysis to assess ROE drivers.

Question 4

The company you analyze has just ended the quarter with revenue 15% below budget and gross profit 22% below budget. How do you conduct a budget variance analysis and present findings to Management?

Accepted Answer

4-step variance analysis: (1) Decompose Variance: Revenue Variance = Price Variance + Volume Variance; Gross Profit Variance = Revenue Variance + Cost Variance; (2) Analyze by product/channel/region to find root cause; (3) Classify: Controllable vs. Uncontrollable variance (market vs. internal); (4) Report format: Actual vs. Budget vs. Prior Year, with commentary explaining causes and corrective actions. Gross Profit lower than revenue (-22% vs -15%) signals both revenue loss and margin compression - investigate abnormal COGS increase. Strong candidates know to ask precise questions: Volume or price variance? All products or concentrated in some? Seasonal factors? Variable cost increase or unabsorbed fixed costs? Mention tools: Pivot tables in Excel, Power BI dashboard for real-time monitoring, and the value of rolling forecasts vs. static budget comparisons only.

Question 5

You are assigned to conduct financial due diligence for the acquisition of a private logistics company in Vietnam. What Vietnam-specific financial risks would you focus on investigating?

Accepted Answer

Financial DD structure: (1) Quality of Earnings - adjust EBITDA (remove one-offs, normalize); (2) Quality of Net Assets - check hidden assets/contingent liabilities; (3) Working Capital Analysis - determine normalized NWC peg; (4) Cash Flow Analysis - historical FCF analysis. Vietnam-specific risks: (a) Dual books (2 sets of accounts): accounting books vs. tax books vs. actual - cross-check with VAT data; (b) Hidden tax liabilities: 5-year tax reassessment under Tax Administration Law; (c) Unpaid social insurance (BHXH); (d) Transportation business licenses and compliance; (e) Real estate - land use rights, construction permits. Senior candidates know that dual books are common practice among private Vietnamese SMEs. Detection methods: compare VAT-declared revenue with financial statements; check cash flow patterns; interview accounting staff. Mention Tax Administration Law No. 38/2019/QH14 (5-year reassessment period, up to 10 years for fraud) and the importance of Tax Indemnity Clauses in M&A contracts.

Question 6

You are a financial analyst at a multinational group considering FDI into Vietnam. How would you build a financial analysis model, and what Vietnam-specific factors need to be incorporated?

Accepted Answer

FDI Vietnam model must include: (1) Tax incentives: preferential CIT (10% for 15 years, exempt 4 years, 50% reduction for 9 more years for encouraged investment per Investment Law 2020 + Decree 57/2021/ND-CP); (2) FX risk: VND is not fully freely convertible, adjust FX model with historical VND/USD volatility; (3) Labor costs: regional minimum wages per Decree 38/2022/ND-CP, employer BHXH/BHYT/BHTN contributions ~21.5% of salary; (4) Land and logistics costs; (5) Profit repatriation limits (0% withholding tax via Double Tax Treaties); (6) Exit scenarios and liquidation. Strong candidates mention Pillar Two Global Minimum Tax (15%) being implemented in Vietnam from 2024 (Resolution 107/2023/QH15), potentially affecting large groups with revenue > EUR 750 million. This fundamentally changes traditional tax incentive analysis. Also mention trade agreements: EVFTA, CPTPP, RCEP - impact on raw material import costs.

Question 7

The company you are analyzing has a Working Capital Cycle of 90 days while competitors average 45 days. How would you identify root causes and propose solutions?

Accepted Answer

Analyze CCC (Cash Conversion Cycle = DIO + DSO - DPO): (1) DIO (Days Inventory Outstanding) = Inventory / COGS × 365 - if high: slow inventory turnover, poor forecasting, too many SKUs; (2) DSO (Days Sales Outstanding) = AR / Revenue × 365 - if high: loose credit terms, weak collections, customer difficulties; (3) DPO (Days Payable Outstanding) = AP / COGS × 365 - if low: not maximizing supplier credit. Solutions: SCF (Supply Chain Financing), invoice discounting, safety stock optimization, improving credit policy. In the Vietnamese context: high DSO is common in B2B companies with SOE customers (late payment is widespread); high DIO due to supply chains from China (large buffer stock post-COVID-19). Mention factoring and invoice discounting - trade finance market is developing in Vietnam per Circular 04/2023/TT-NHNN on lending by credit institutions.

Question 8

Describe a situation where you used Excel or Power BI to solve a complex financial analysis problem. What features did you use and what was the outcome?

Accepted Answer

Demonstrate proficiency: Excel - INDEX/MATCH, XLOOKUP, dynamic arrays (FILTER, UNIQUE, SEQUENCE), Power Query (ETL), Power Pivot (data model, DAX measures), Scenario Manager, Data Tables for sensitivity analysis, VBA/Macros for automation. Power BI - Data modeling (star schema), DAX (CALCULATE, SUMX, DIVIDE, time intelligence: SAMEPERIODLASTYEAR), Row-Level Security for report access control, direct connection with SQL Server/Supabase. Present using STAR: Situation, Task, Action, Result. The strongest candidates tell specific stories with numbers: 'I built a model that automated monthly reporting for 50 branches, reducing time from 3 days to 2 hours per month'. Mention new trends: Python/Pandas for big data analysis, Copilot for Excel/Power BI, and the importance of data governance in Vietnamese corporate environments (financial information security).