Investment Analysis

Definition of Primary Market

The primary market is the capital market segment where corporations and governments issue brand-new financial securities (equity shares, debentures) directly to initial investors through Initial Public Offerings (IPOs), Rights Offerings, or Private Placements to raise long-term capital funds.

Definition of Call Option

A call option is a derivative financial contract that gives the buyer (holder) the right, but not the obligation, to buy an underlying asset at a specified strike price within a specified time period in exchange for paying an upfront premium to the seller (writer).

Calculation of Treasury Bill Yield

$$\text{Given: } F = \text{Rs } 100, \quad P = \text{Rs } 95, \quad t = 91 \text{ days}, \quad D = F - P = \text{Rs } 5$$

$$\text{Bank Discount Yield } (r_{bd}) = \frac{D}{F} \times \frac{360}{t} = \frac{5}{100} \times \frac{360}{91} = 0.05 \times 3.956 = \mathbf{19.78\%}$$

$$\text{Investment Yield / BEY } (r_{bey}) = \frac{D}{P} \times \frac{365}{t} = \frac{5}{95} \times \frac{365}{91} = 0.0526 \times 4.011 = \mathbf{21.10\%}$$

Open-End vs. Closed-End Mutual Funds

Feature	Open-End Mutual Fund	Closed-End Mutual Fund
Capitalization	Variable capitalization; shares continuously bought and redeemed directly with the fund sponsor.	Fixed capitalization; fixed number of units issued in an initial offering.
Trading Mechanism	Traded directly at daily Net Asset Value (NAV).	Traded between investors on secondary stock exchanges (NEPSE) at market price (at a premium or discount to NAV).

Meaning of Beta Coefficient

The beta coefficient ($\beta$) measures the sensitivity or volatility of an individual security’s returns relative to the movements of the overall market portfolio. A $\beta = 1.0$ indicates market risk; $\beta > 1.0$ indicates aggressive, high-volatility stock; $\beta < 1.0$ indicates defensive stock.

Meaning of Intrinsic Value

Intrinsic value is the true, justified economic worth of a financial security calculated by discounting all expected future cash flows (dividends, interest, liquidation value) at an appropriate risk-adjusted required rate of return, independent of current market fluctuations.

Two Leading Economic Indicators

1. Stock Market Indices (e.g., NEPSE Index): Equity price trends anticipate corporate earnings and economic shifts 3 to 6 months in advance.
2. Building Permits and Money Supply (M2) Growth: Accelerating private construction and credit growth signal impending industrial expansion.

Calculation: Par Value and Book Value per Share (Lumbini Sugar Mill)

$$\text{Given: } \text{Share Capital} = \text{Rs } 1,000,000, \quad \text{Shares Outstanding } (N) = 10,000$$

$$\text{Share Premium} = \text{Rs } 500,000, \quad \text{Retained Earnings} = \text{Rs } 1,500,000$$

1. Par Value per Share:

$$\text{Par Value} = \frac{\text{Share Capital}}{N} = \frac{1,000,000}{10,000} = \mathbf{\text{Rs } 100.00}$$

2. Book Value per Share:

$$\text{Total Net Worth} = \text{Share Capital} + \text{Share Premium} + \text{Retained Earnings} = 1,000,000 + 500,000 + 1,500,000 = \text{Rs } 3,000,000$$

$$\text{Book Value per Share} = \frac{\text{Total Net Worth}}{N} = \frac{3,000,000}{10,000} = \mathbf{\text{Rs } 300.00}$$

Calculation: Holding Period Return (Himalaya Company)

$$\text{Given: } P_0 = \text{Rs } 200, \quad P_1 = \text{Rs } 250, \quad D_1 = \text{Rs } 20$$

$$HPR = \frac{D_1 + (P_1 - P_0)}{P_0} = \frac{20 + (250 - 200)}{200} = \frac{20 + 50}{200} = \frac{70}{200} = \mathbf{35.00\%}$$

How to Calculate the Value of a Zero-Coupon Bond

A zero-coupon bond pays no periodic coupon interest; its value is the present value of its par value payable at maturity:

$$V_0 = \frac{M}{(1 + k_d)^n}$$

Where:

• $M$ = Maturity par value (face value)
• $k_d$ = Required yield to maturity per period
• $n$ = Number of years to maturity

Technical Analysis vs. Fundamental Analysis

Dimension	Fundamental Analysis	Technical Analysis
Core Premise	A stock’s true value is determined by economic, industry, and company financial fundamentals.	Market price and volume patterns reflect all known information; history repeats itself.
Primary Data Sources	Financial statements (P&L, Balance Sheet, Cash Flow), macroeconomic GDP, interest rates, industry trends.	Historical price charts, trading volume, moving averages, RSI, and chart patterns (Head and Shoulders).
Time Horizon	Long-term investing (1 to 5+ years).	Short-to-medium term active trading (days to months).
Core Objective	Identifying mispriced securities (Underpriced vs. Overpriced).	Timing market entry and exit points.

Stages of an Industry Life Cycle (ILC)

Industries evolve through five sequential stages:

  Sales Volume
       ▲                                 Mature
       │                            ┌──────────────┐
       │                       Rapid│              │   Deceleration /
       │                      Growth│              │      Decline
       │                 ┌──────────┘              └──────────┐
       │      Pioneering │                                    │
       │   ┌─────────────┘                                    ▼
       └───┴───────────────────────────────────────────────────────► Time

1. Pioneering / Introduction Stage: New technology, high R&D costs, low sales volume, heavy losses, high risk of startup bankruptcy.
2. Rapid Expansion / Growth Stage: Explosive market adoption, accelerating sales revenue, surging profit margins, expansion of production capacity.
3. Mature Growth Stage: Market saturation begins, growth rate slows to match general GDP growth, intense price competition among survivors.
4. Stabilization / Maturity Stage: Product standardization, stable cash cows, growth tied strictly to population replacement.
5. Deceleration / Decline Stage: Technological obsolescence or shifting consumer lifestyles lead to contracting sales, price wars, and exit.

Systematic Risk vs. Unsystematic Risk

$$\text{Total Risk } (\sigma) = \text{Systematic Risk} + \text{Unsystematic Risk}$$

• Systematic Risk (Market Risk):
  • Caused by macroeconomic forces external to the firm: inflation, interest rate hikes, GDP recessions, wars, political instability.
  • Affects all listed companies simultaneously and cannot be eliminated through diversification.
  • Measured by Beta ($\beta$).
• Unsystematic Risk (Firm-Specific / Idiosyncratic Risk):
  • Caused by factors internal to an individual company or industry: labor strikes, management fraud, patent expiration, product recall.
  • Can be completely eliminated by building a well-diversified portfolio of 25–30 uncorrelated stocks.

Solution: Nabina Basnet Stock Return Calculations

$$\text{Given: } N = 400 \text{ shares}, \quad P_0 = \text{Rs } 150, \quad P_1 = \text{Rs } 210, \quad D = \text{Rs } 9 \text{ per share}$$

a. Total Rupee Return:

• Total Initial Investment = $400 \times 150 = \text{Rs } 60,000$
• Total Dividend Received = $400 \times 9 = \text{Rs } 3,600$
• Capital Gain = $400 \times (210 - 150) = 400 \times 60 = \text{Rs } 24,000$
  $$\text{Total Rupee Return} = 3,600 + 24,000 = \mathbf{\text{Rs } 27,600}$$

b. Rate of Return:

$$\text{Rate of Return } (R) = \frac{D + (P_1 - P_0)}{P_0} = \frac{9 + (210 - 150)}{150} = \frac{9 + 60}{150} = \frac{69}{150} = \mathbf{46.00\%}$$

c. Separation into Dividend Yield and Capital Gain Yield:

$$\text{Dividend Yield} = \frac{D}{P_0} = \frac{9}{150} = \mathbf{6.00\%}$$

$$\text{Capital Gain Yield} = \frac{P_1 - P_0}{P_0} = \frac{60}{150} = \mathbf{40.00\%}$$

$$\text{Verification: } 6.00\% + 40.00\% = 46.00\%$$

Solution: Mega Company Stock Valuation Using CAPM

$$\text{Given: } \beta = 1.8, \quad R_f = 6\%, \quad R_m = 14\%, \quad \text{Average Expected Return } = 20\%$$

a. Required Rate of Return (CAPM):

$$k = R_f + \beta(R_m - R_f) = 6\% + 1.8(14\% - 6\%) = 6\% + 1.8(8\%) = 6\% + 14.4\% = \mathbf{20.40\%}$$

b. Valuation Assessment:

• Expected Return ($20.00\%$) is less than the Required Return ($20.40\%$).
• Conclusion: The stock is overpriced (it plots below the Security Market Line - SML).
• Reason: Investors are earning less return than what is required to compensate for its high systematic risk ($\beta = 1.8$), meaning the current market price is too high.

Solution: Yield to Maturity (YTM) Calculation

$$\text{Given: } M = \text{Rs } 1,000, \quad P_0 = \text{Rs } 800, \quad n = 10 \text{ years}, \quad \text{Coupon Rate } = 8\% \implies C = \text{Rs } 80$$

Using the YTM Approximation Formula:

$$YTM \approx \frac{C + \frac{M - P_0}{n}}{\frac{M + 2P_0}{3}} = \frac{80 + \frac{1000 - 800}{10}}{\frac{1000 + 2(800)}{3}} = \frac{80 + 20}{\frac{2600}{3}} = \frac{100}{866.67} = \mathbf{11.54\%}$$

Since the bond is selling at a discount ($P_0 < M$), the YTM ($11.54\%$) exceeds the coupon rate ($8.00\%$).

Solution: Nepal Corporation Stock Valuation

$$\text{Given: } P_0 = \text{Rs } 100, \quad EPS_1 = \text{Rs } 20, \quad \text{Payout Ratio } (1 - b) = 50\% \implies b = 50\%, \quad ROE = 20\%$$

Dividend and Growth Rate:

$$D_1 = EPS_1 \times (1 - b) = 20 \times 0.50 = \text{Rs } 10.00$$

$$g = b \times ROE = 0.50 \times 20\% = 10.00\%$$

a. Required Rate of Return ($k$):

$$P_0 = \frac{D_1}{k - g} \implies 100 = \frac{10}{k - 0.10} \implies k - 0.10 = \frac{10}{100} = 0.10 \implies k = \mathbf{20.00\%}$$

b. Excess Value Over Zero-Reinvestment Policy:

• If 100% of earnings were paid as dividends ($b = 0, g = 0$):
  $$P_{\text{no-growth}} = \frac{EPS_1}{k} = \frac{20}{0.20} = \text{Rs } 100.00$$
• Excess Value:
  $$\text{Excess Value} = P_0 - P_{\text{no-growth}} = 100 - 100 = \mathbf{\text{Rs } 0.00}$$
• Explanation: Because the company’s reinvestment return ($ROE = 20\%$) exactly equals the investors’ required rate of return ($k = 20\%$), retaining earnings generates zero excess economic value ($PVGO = 0$).

Meaning and Explanation of the Investment Process

Meaning of Investment Process

The investment process is a systematic, sequential decision-making framework through which an investor determines how to allocate capital across diverse financial asset classes to achieve targeted financial goals while managing risk.

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Five Core Steps in the Investment Process

┌────────────────────────────────────────────────────────────────────────┐
│ 1. Set Investment Objectives & Formulate Policy (IPS)                  │
│    • Quantify return objectives & assess risk tolerance                │
│    • Specify liquidity, horizon, tax, and legal constraints            │
├────────────────────────────────────────────────────────────────────────┤
│ 2. Conduct Security & Macroeconomic Analysis                           │
│    • E-I-C Framework (Economic, Industry, and Company analysis)        │
│    • Valuation modeling (DDM, DCF, P/E multiples)                      │
├────────────────────────────────────────────────────────────────────────┤
│ 3. Portfolio Construction & Asset Allocation                           │
│    • Strategic asset allocation (Equities vs. Fixed Income vs. Cash)   │
│    • Markowitz optimization and diversification                        │
├────────────────────────────────────────────────────────────────────────┤
│ 4. Portfolio Revision & Rebalancing                                    │
│    • Periodic rebalancing back to target asset weights                 │
│    • Swapping deteriorating assets for promising opportunities         │
├────────────────────────────────────────────────────────────────────────┤
│ 5. Portfolio Performance Evaluation & Attribution                      │
│    • Risk-adjusted metrics (Sharpe, Treynor, Jensen's Alpha)           │
│    • Benchmark comparison against market index                         │
└────────────────────────────────────────────────────────────────────────┘

Performing Industry Analysis: Frameworks and Methodologies

Industry analysis investigates the competitive landscape, growth potential, and regulatory environment of a specific economic sector within the top-down E-I-C investment approach.

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Methodological Framework for Industry Analysis

1. Industry Life Cycle (ILC) Evaluation

• Identify the current life stage of the industry: Pioneering, Rapid Expansion, Mature Growth, Stabilization, or Decline.

2. Michael Porter’s Five Forces Model

Evaluates competitive intensity and long-term profit potential:

1. Threat of New Entrants: Capital requirements, regulatory licenses, economies of scale.
2. Bargaining Power of Buyers: Customer price sensitivity and switching costs.
3. Bargaining Power of Suppliers: Concentration of raw material vendors.
4. Threat of Substitute Products: Availability of alternative technologies.
5. Rivalry Among Existing Competitors: Price wars and marketing intensity.

3. Macroeconomic Sensitivity Analysis

• Cyclical Industries: High sensitivity to GDP growth (e.g., automobile, tourism).
• Defensive Industries: Resilient through recessions (e.g., pharmaceuticals, food staples).

Solution: Margin Trading and Leverage Analysis

$$\text{Given: } 100 \text{ shares at } P_0 = \text{Rs } 500 \implies \text{Total Purchase Value} = \text{Rs } 50,000$$

$$\text{Margin Loan Interest Rate} = 8\%$$

a. Initial Margin 75%:

• Own Money Invested (Equity): $50,000 \times 0.75 = \mathbf{\text{Rs } 37,500}$
• Borrowed from Broker (Loan): $50,000 \times 0.25 = \mathbf{\text{Rs } 12,500}$
• Annual Loan Interest Paid: $12,500 \times 0.08 = \text{Rs } 1,000$

b. Rates of Return at End of 1 Year:

$$\text{Net Profit} = \text{Sale Proceeds} - \text{Initial Cost} - \text{Interest} = (100 \times P_1) - 50,000 - 1,000$$

$$\text{Rate of Return on Equity } (R) = \frac{\text{Net Profit}}{37,500}$$

1. At $P_1 = \text{Rs } 400$:
   $$\text{Net Profit} = 40,000 - 50,000 - 1,000 = -\text{Rs } 11,000 \implies R = \frac{-11,000}{37,500} = \mathbf{-29.33\%}$$
2. At $P_1 = \text{Rs } 500$:
   $$\text{Net Profit} = 50,000 - 50,000 - 1,000 = -\text{Rs } 1,000 \implies R = \frac{-1,000}{37,500} = \mathbf{-2.67\%}$$
3. At $P_1 = \text{Rs } 600$:
   $$\text{Net Profit} = 60,000 - 50,000 - 1,000 = +\text{Rs } 9,000 \implies R = \frac{9,000}{37,500} = \mathbf{+24.00\%}$$

c. Assuming Initial Margin was 50%:

• Own Equity: $50,000 \times 0.50 = \mathbf{\text{Rs } 25,000}$
• Loan Borrowed: $50,000 \times 0.50 = \mathbf{\text{Rs } 25,000}$
• Annual Interest: $25,000 \times 0.08 = \text{Rs } 2,000$
• Returns:
  • At $P_1 = 400$: $\text{Net Profit} = -10,000 - 2,000 = -12,000 \implies R = \frac{-12,000}{25,000} = \mathbf{-48.00\%}$
  • At $P_1 = 500$: $\text{Net Profit} = 0 - 2,000 = -2,000 \implies R = \frac{-2,000}{25,000} = \mathbf{-8.00\%}$
  • At $P_1 = 600$: $\text{Net Profit} = 10,000 - 2,000 = +8,000 \implies R = \frac{8,000}{25,000} = \mathbf{+32.00\%}$
• Conclusion on Margin: Margin acts as a two-edged financial lever: it magnifies potential gains in rising markets ($+32\%$ vs $+24\%$), but severely magnifies losses in falling markets ($-48\%$ vs $-29.33\%$).

Solution: National Stock Exchange Index Calculations

$$\begin{array}{lcccc} \hline \text{Stock} & \text{Shares } (Q) & \text{Day 1 } (P_1) & \text{Day 2 } (P_2) & \text{Day 3 } (P_3) \\ \hline A & 2,000 & \text{Rs } 400 & \text{Rs } 500 & \text{Rs } 600 \\ B & 3,000 & 200 & 220 & 240 \\ C & 4,000 & 1,600 & 1,600 & 1,800 \\ \hline \end{array}$$

a. Price-Weighted Index (Divisor $d = 3$):

• Day 1 Index: $I_1 = \frac{400 + 200 + 1600}{3} = \frac{2200}{3} = \mathbf{733.33}$
• Day 2 Index: $I_2 = \frac{500 + 220 + 1600}{3} = \frac{2320}{3} = \mathbf{773.33}$
  $$\% \Delta \text{ Day 2} = \frac{773.33 - 733.33}{733.33} = \mathbf{+5.45\%}$$
• Day 3 Index: $I_3 = \frac{600 + 240 + 1800}{3} = \frac{2640}{3} = \mathbf{880.00}$
  $$\% \Delta \text{ Day 3} = \frac{880.00 - 773.33}{773.33} = \mathbf{+13.79\%}$$

b. Value-Weighted Index (Base Day 1 = 100):

• Day 1 Mkt Cap: $(2000 \times 400) + (3000 \times 200) + (4000 \times 1600) = 800k + 600k + 6.4M = \text{Rs } 7.80 \text{ Million}$
• Day 2 Mkt Cap: $(2000 \times 500) + (3000 \times 220) + (4000 \times 1600) = 1.0M + 660k + 6.4M = \text{Rs } 8.06 \text{ Million}$
  $$I_2 = \frac{8.06}{7.80} \times 100 = \mathbf{103.33} \implies \% \Delta = \mathbf{+3.33\%}$$
• Day 3 Mkt Cap: $(2000 \times 600) + (3000 \times 240) + (4000 \times 1800) = 1.2M + 720k + 7.2M = \text{Rs } 9.12 \text{ Million}$
  $$I_3 = \frac{9.12}{7.80} \times 100 = \mathbf{116.92} \implies \% \Delta \text{ Day 3} = \frac{116.92 - 103.33}{103.33} = \mathbf{+13.15\%}$$

c. Adjusting for Stock Splits:

• In Value-Weighted Index: No adjustment is necessary. A 2-for-1 split doubles the number of shares while halving the price per share, leaving total market capitalization ($P \times Q$) unchanged.
• In Price-Weighted Index: The divisor must be adjusted. If Stock C splits 2-for-1 on Day 2, its price falls from Rs 1,600 to Rs 800. To prevent the index from artificially dropping:
  $$d_{\text{new}} = \frac{\sum P_{\text{after-split}}}{\text{Index Value Before Split}} = \frac{500 + 220 + 800}{773.33} = \frac{1520}{773.33} = 1.965$$

Comprehensive Financial Ratio Analysis — Jagadamba Trading Concern:

Given Forecasted 2025E Financial Statement Data:

• Balance Sheet Items (2025E):
  • Cash = Rs 14,000; Short-term investments = Rs 71,632; AR = Rs 878,000; Inventories = Rs 1,716,480
  • Total Current Assets ($CA$) = Rs 2,680,112
  • Gross Fixed Assets = Rs 1,220,000; Less Depreciation = Rs 383,160; Net Fixed Assets ($NFA$) = Rs 836,840
  • Total Assets ($TA$) = Rs 3,516,952
  • Current Liabilities ($CL$): AP = Rs 359,800 + Notes Payable = Rs 300,000 + Accruals = Rs 380,000 = Rs 1,039,800
  • Long-term Debt = Rs 500,000
  • Total Equity = Common Stock Rs 1,680,936 + Retained Earnings Rs 296,216 = Rs 1,977,152
  • Total Liabilities and Equity = Rs 3,516,952
• Income Statement Items (2025E):
  • Sales = Rs 7,035,600
  • COGS = Rs 5,800,000
  • EBIT = Rs 502,640
  • Interest Expense = Rs 80,000
  • EBT = Rs 422,640; Taxes (40%) = Rs 169,056
  • Net Income ($NI$) = Rs 253,584

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Part a: Liquidity Ratios (2025E) and Comparison:

1. Current Ratio:
   $$\text{Current Ratio} = \frac{\text{Current Assets}}{\text{Current Liabilities}} = \frac{\text{Rs } 2,680,112}{\text{Rs } 1,039,800} = \mathbf{2.58 \text{ times}}$$
2. Quick (Acid-Test) Ratio:
   $$\text{Quick Ratio} = \frac{\text{Current Assets} - \text{Inventories}}{\text{Current Liabilities}} = \frac{2,680,112 - 1,716,480}{1,039,800} = \frac{963,632}{1,039,800} = \mathbf{0.93 \text{ times}}$$

Comparison & Interpretation:

• In 2026, Jagadamba was near insolvency with a Current Ratio of $1.5$ and Quick Ratio of $0.5$.
• For 2025E, liquidity shows dramatic recovery: Current Ratio improves to $2.58$ (approaching the industry standard of $2.7$) and Quick Ratio rises to $0.93$ (very close to industry benchmark of $1.0$). The planned financing substantially relieves short-term pressure.

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Part b: Asset Utilization Ratios (2025E) and Comparison:

1. Inventory Turnover Ratio:
   $$\text{Inventory Turnover} = \frac{\text{Sales}}{\text{Inventories}} = \frac{\text{Rs } 7,035,600}{\text{Rs } 1,716,480} = \mathbf{4.10 \text{ times}}$$
   (Using COGS: $\frac{5,800,000}{1,716,480} = 3.38$ times).
2. Days Sales Outstanding (DSO / ACP) (360 days):
   $$DSO = \frac{\text{Accounts Receivable}}{\text{Sales} / 360} = \frac{878,000}{7,035,600 / 360} = \frac{878,000}{19,543.33} = \mathbf{44.93 \text{ days}} \approx \mathbf{45.0 \text{ days}}$$
   (Using 365 days: $45.6$ days).
3. Fixed Assets Turnover Ratio:
   $$\text{Fixed Assets Turnover} = \frac{\text{Sales}}{\text{Net Fixed Assets}} = \frac{\text{Rs } 7,035,600}{\text{Rs } 836,840} = \mathbf{8.41 \text{ times}}$$
4. Total Assets Turnover Ratio:
   $$\text{Total Assets Turnover} = \frac{\text{Sales}}{\text{Total Assets}} = \frac{\text{Rs } 7,035,600}{\text{Rs } 3,516,952} = \mathbf{2.00 \text{ times}}$$

Comparison & Interpretation:

• Inventory turnover ($4.10\times$) and DSO ($45.0$ days) remain significantly weaker than industry averages ($6.1\times$ and $32.0$ days), indicating persistent excess inventory accumulation and lenient credit collection policies.
• Fixed asset turnover ($8.41\times$) surpasses the industry benchmark ($7.0\times$), proving high productivity from manufacturing plant and machinery.
• Total asset turnover ($2.00\times$) remains below the industry norm ($2.5\times$) due to excessive working capital balances.

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Part c: Financial Leverage Ratios (2025E) and Comparison:

1. Debt Ratio:
   $$\text{Debt Ratio} = \frac{\text{Total Liabilities}}{\text{Total Assets}} = \frac{1,039,800 + 500,000}{3,516,952} = \frac{\text{Rs } 1,539,800}{\text{Rs } 3,516,952} = \mathbf{43.78\%}$$
2. Times Interest Earned (TIE):
   $$\text{TIE} = \frac{EBIT}{\text{Interest Expense}} = \frac{\text{Rs } 502,640}{\text{Rs } 80,000} = \mathbf{6.28 \text{ times}}$$

Comparison & Interpretation:

• Jagadamba’s debt ratio drops dramatically from an alarming $80.7\%$ in 2026 to $43.8\%$ in 2025E, outperforming the industry norm ($50.0\%$).
• Coverage improves remarkably from a precarious $0.1\times$ to $6.28\times$, matching the industry average of $6.2\times$ and eliminating bankruptcy vulnerability.

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Part d: Profitability Ratios (2025E) and Comparison:

1. Profit Margin (Net Profit Margin):
   $$\text{Profit Margin} = \frac{\text{Net Income}}{\text{Sales}} = \frac{\text{Rs } 253,584}{\text{Rs } 7,035,600} = \mathbf{3.60\%}$$
2. Return on Total Assets (ROA):
   $$\text{ROA} = \frac{\text{Net Income}}{\text{Total Assets}} = \frac{\text{Rs } 253,584}{\text{Rs } 3,516,952} = \mathbf{7.21\%}$$
3. Return on Equity (ROE):
   $$\text{ROE} = \frac{\text{Net Income}}{\text{Total Equity}} = \frac{\text{Rs } 253,584}{\text{Rs } 1,977,152} = \mathbf{12.83\%}$$

Comparison & Interpretation:

• Profit margin turns positive to $3.60\%$, exactly reaching the industry average ($3.6\%$) and recovering from $-1.6\%$ in 2026.
• ROA ($7.21\%$) and ROE ($12.83\%$) show vast improvement over 2026 losses ($-3.3\%$ and $-17.1\%$), though they still trail industry benchmarks ($9.0\%$ and $17.9\%$), largely due to the lower financial leverage and underutilized working capital.

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Consolidated Master Ratio Comparison Table:

Financial Ratio	2026 Actual	2025 Projected	Industry Average	Trend / Assessment
Current Ratio	1.5	2.58	2.7	Greatly improved; sound short-term buffer
Quick Ratio	0.5	0.93	1.0	Immediate liquidity restored near benchmark
Inventory Turnover	4.0	4.10	6.1	Below industry; excess stock buildup
Days Sales Outstanding (DSO)	39.5 days	44.9 days	32.0 days	Weakened credit collection; needs tightening
Fixed Assets Turnover	6.2	8.41	7.0	Superior fixed asset efficiency
Total Assets Turnover	2.0	2.00	2.5	Sluggish due to excessive current assets
Debt Ratio	80.7%	43.8%	50.0%	Major financial restructuring; safe solvency
Times Interest Earned (TIE)	0.1	6.28	6.2	Interest coverage fully restored
Profit Margin	-1.6%	3.60%	3.6%	Rebounded to industry standard
Return on Assets (ROA)	-3.3%	7.21%	9.0%	Strong positive turnaround, room to improve
Return on Equity (ROE)	-17.1%	12.83%	17.9%	Significant shareholder recovery

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Part e: Limitations of Ratio Analysis:

While financial ratio analysis is a powerful diagnostic tool, Roshani Gurung must recognize its core limitations:

1. Historical Perspective: Ratios rely on past accounting data which may not reflect current market conditions or future technological and regulatory shifts.
2. Accounting Distortion & Differing Policies: Different firms employ different inventory valuation methods (FIFO vs. Weighted Average) and depreciation schedules (Straight-line vs. Diminishing balance), impeding cross-company comparability.
3. Seasonal Variations: Year-end balance sheet snapshots can distort working capital ratios for seasonal businesses.
4. Window Dressing: Management may artificially inflate year-end cash balances or postpone short-term payables to present stronger liquidity metrics.
5. Inflationary Bias: Inflation distorts balance sheet asset values (historical book values of plant and machinery compared to current replacement costs).
6. Difficulty in Benchmarking Conglomerates: Finding meaningful industry average benchmarks is difficult for multi-division companies operating across diverse product segments.