Stock Valuation of Pt. Adhi Commuter Properti Tbk (ADCP) as a Transit-Oriented Development Property Developer
##plugins.themes.bootstrap3.article.main##
Amid global economic uncertainty in 2023, Indonesia focuses on innovative solutions for urban expansion challenges. The government addresses limited urban land and traffic congestion with new LRT infrastructures and Transit-oriented Development (TOD) residences. Bank Indonesia’s efforts to stabilize the reverse repo rate support stability and growth, which could boost housing loan demand and benefit property industries. PT. Adhi Commuter Properti tbk. (ADCP) positions itself to take advantage of rising urban property demand. However, the company lost more than half of its market share after it went public (IPO). The researcher tried to analyze ADCP’s value using DCF, Relative Valuation, and NAV methods to reveal potential undervaluation. This research utilizes secondary data gathered to learn the subject. The data is derived from a comprehensive review of prior research books, related journals, and company financial reports sourced from the Indonesian Stock Exchange (IDX) website and the company’s official website. The data obtained is subjected to quantitative analysis to derive meaningful results.
Downloads
Introduction
The global economic outlook for 2023 is uncertain, with potential growth declines after a three-year recovery from COVID-19. Many economies, including China, anticipate a decrease from 3.4% in 2022 to 2.8% in 2023 due to factors like inflation and the effects of Russia’s invasion of Ukraine (International Monetary Fund, 2023). In contrast, Indonesia’s economy shows promise, projecting a growth rate of 4.5%–5.3% in 2023 and further acceleration to 4.7%–5.5% in 2024, according to Bank Indonesia’s Communication Department (2022). Bank Indonesia’s policies focus on rupiah stabilization and inflation control to fortify economic resilience.
With over half of its population in urban areas, Jakarta, as the capital city of Indonesia, is rapidly urbanizing, leading to the need for residential development. Limited land availability prompts developers like PT. Adhi Commuter Properti (ADCP) will focus on vertical property development, especially Transit-Oriented Development (TOD) near LRT stations, addressing the challenges of rising house prices and traffic congestion. As 2023 unfolds with threats of recession and interest rate hikes, the property sector faces a crucial test. ADCP, recognizing industry competition, emphasizes innovation. Despite challenges, ADCP’s 2022 (PT. Adhi Commuter Properti Tbk (ADCP), 2022) annual report highlights significant growth, reinforcing the belief in the demand for urban properties and national recovery momentum. Established in 2015 as a Transit-Oriented Development (TOD) division, ADCP later became a subsidiary of PT. Adhi Karya (Persero) tbk (ADHI) in 2018. With an equity of Rp. 1.1 trillion ADCP diversified into non-construction operations, focusing on property, hospitality, and support. Leveraging its TOD approach, ADCP strategically develops real estate around LRT stations, offering convenient connectivity for urban residents. ADCP’s vision emphasizes being a trusted, transportation-and-service-based area developer. Its three main business units include property, hospitality, and supporting facilities. Residential projects around Greater Jakarta provide easy access to LRT stations, catering to modern urban lifestyles.
ADCP went public in February 2022 and shortly after faced a significant drop in its stock price from Rp 130 to Rp 60 per share by July 5, 2023. Economic recovery challenges, slow property sector growth, and high interest rates contributed to this decline. ADCP anticipates a positive impact from the recently launched LRT, enhancing financial performance. Moreover, social restrictions had positively impacted the Indonesian property market, with increased demand in Q4 2022.
The research aims to answer key questions about ADCP:
- How is the financial performance of ADCP?
- What is ADCP’s intrinsic value using the DCF method?
- What are the most sensitive variables in the DCF method?
- What is the probability distribution of the DCF method?
- What is ADCP’s intrinsic value using Relative Valuation?
- What is ADCP’s intrinsic value using Net Asset Valuation (NAV)?
Objectives include evaluating past and predicted financial performance, proposing an implementation plan for management, and determining the intrinsic value of ADCP’s stock for informed investment decisions. The study focuses on ADCP’s financial reports from 2018 to Q2 2023, using DCF, Relative Valuation, and NAV methods. The data was limited to the post-IPO in 2022 and the specific focus on Transit-oriented Development, aiming for a comprehensive analysis within the specified scope.
Literature Review
The transformation of Jakarta into a metropolitan city, with its consequential surge in urbanization and business growth, has significantly impacted the demand for housing, particularly in proximity to the city (Rahadiet al., 2013). In addressing urbanization challenges in Jakarta, the government introduced the Light Rail Transit (LRT) infrastructure in 2015 (Pramudita & Nataadmadja, 2022). This development, integrated with Transit-Oriented Development (TOD) residential areas, aims to create an efficient city by strategically placing developments around transit networks. The research suggests that the location, particularly proximity to efficient public transportation like LRT stations, significantly influences property demand and prices. Companies with properties near LRT stations, including ADCP, may experience increased valuation due to this positive impact. This phenomenon presents both challenges and opportunities for property developers like ADCP, influencing their valuation.
Dubreuilleet al. (2016) research on “Real Options: An Alternative Valuation Model for the U.S. REIT Market” outlines three theoretical models for real estate valuation: Discounted Cash Flow (DCF), Relative Valuation, and Net Asset Value (NAV). These models form the backbone of the approach taken to calculate the intrinsic value of PT. Adhi Commuter Properti tbk. and serve as the theoretical underpinning for this research.
This study examines the following methods: Absolute Valuation using Discounted Cash Flow (DCF) complemented with sensitivity analysis and Monte Carlo simulation, Relative Valuation, and Net Asset Value (NAV), which is explained below:
- Discounted Cash Flow: According to Damodaran (2006), DCF is a method emphasizing the present value of expected future cash flows. Recognizing the time value of money, this approach provides a nuanced understanding of the intrinsic value of an investment, aiding investors in making informed decisions based on anticipated returns over time.
- Relative Valuation: Relative valuation estimates asset value by comparing it to similar assets in the same industry. This method, outlined by Damodaran (2006), involves comparing underlying assets with those of other companies to gauge the market’s willingness to pay for such assets. While quicker and simpler, it may overlook variables like growth rate and cash flow projections.
- Net Asset Value (NAV): NAV involves adjusting assets and liabilities to estimate intrinsic market value. For property companies like ADCP, revaluing landbanks is common to reflect current market values. The study by Morri and Benedetto (2009) emphasizes the importance of incorporating a discount to NAV to accurately represent market perception and aid investors in decision-making.
Method
Research Design
This research design serves as a comprehensive guideline for investors aiming to assess the value proposition of ADCP and make informed investment decisions. The research design is meticulously structured to align with the study objectives. The conceptual framework, depicted in Fig. 1, outlines the sequential processes employed in this research.
Data Collection Method
This research employed secondary data, primarily sourced from ADCP annual and financial reports. The dataset spans from the 2022 ADCP annual reports to financial reports from F2018 up to Q2 2023.
Data Analysis Method
To achieve comprehensive results, this research utilized three primary valuation methods:
Discounted Cash Flow
WACC Calculation: Determination of the weighted average cost of capital using market value of equity, book value of debt, tax rate, cost of equity, cost of debt after tax, and total value. WACC=(EV×Re)+(DV×Rd×(1−T))where
E – market value of equity
D – book value of debt
T – tax rate
Re – cost of equity
Rd – cost of debt (after tax)
V E + D – total value
Cash Flow Projection: Utilization of Free Cash Flow to Firm (FCFF) formula involving NOPAT, D&A, CAPEX, and Net WC. FCFF=NOPAT+D&A−CAPEX−NETWCwhere
NOPAT – Net Operating Profit
D&A – Depreciation and Amortization expense
CAPEX – Capital Expenditure
Net WC – Changes in Net Working Capital
Intrinsic Value Determination: Application of DCF formula to assess intrinsic value, followed by sensitivity analysis and Monte Carlo simulation for variable impact assessment. DCF=CF1(1+r)1+CF2(1+r)2+CFn(1+r)n+…where
CF1 – cash flow for year one
CF2 – cash flow for year two
CFn – cash flow for additional year
r – discount rate
Relative Valuation
Selection of Comparable Companies: Identification of comparable companies in the TOD real estate development sector.
Use of Relative Ratios: Application of price-earnings ratio (P/E) and price-to-book value ratio (PBV) for performance evaluation against industry benchmarks. PricetoEarningsRatio=MarketPriceperShareEarningspershares PricetoBookValueRatio=MarketPriceperSharesBookValueperShares
Net Asset Value (NAV)
Evaluation of assets and liabilities: This involves considering current market values, factors like property appreciation, and market conditions.
Discount to NAV Evaluation: Assessment of discount to NAV using market sentiment, economic conditions, and industry trends. UnleveredDiscount=NAV−MarketValueNav+Debt
Intrinsic Value per Share: Calculation of intrinsic value per share for comparison with the current market price. NAVpershare=MarketValueofProperties+Otherasstes−TotalLiabilitiesOutstandingNumberofshares
Results and Discussion
The purpose of this research is to analyze the valuation of ADCP stock after the LRT commences. The research seeks to provide a nuanced understanding of how the integration of the LRT system may contribute to ADCP’s overall financial performance and market positioning. By adopting a holistic approach, the study aims to offer insights that extend beyond traditional valuation metrics, contributing to a comprehensive evaluation of the company’s prospects in the dynamic post-LRT landscape.
External Analysis
The external analysis (Table I) begins with an examination of the macroeconomic conditions, focusing on Indonesia’s economic outlook. Following the president’s declaration that the COVID-19 pandemic is over, the country is optimistic about economic growth. Projections by Bank Indonesia suggest an increase in economic growth between 5.0%–5.8% in 2027, supported by global economic recovery, increased investments, and household consumption. Notably, policies such as the relaxation of Loan to Value (LTV) for properties aim to stimulate demand in the real estate sector (BI Economic Report, 2023), especially after the impact of the COVID-19 pandemic. The GDP growth generated by real estate activities in Indonesia has seen a positive trend, indicating potential opportunities for property developers.
Variables | Variable descriptions |
---|---|
Political | Political stability and government policies play a crucial role in Indonesia’s economic stability. The upcoming presidential election in 2024 introduces a level of uncertainty. However, current policies, such as infrastructure development and housing initiatives, are supportive of the property industry. |
Economic | Bank Indonesia’s efforts to maintain low inflation, low tax rates, and prevent recession contribute to economic stability. However, challenges such as limited consumer buying power and oversupply in the apartment market need careful consideration. |
Social | Changes in lifestyles, especially in Jakarta, impact the commercial aspects. The launch of the LRT and ADCP’s Transit-Oriented Development (TOD) apartments near LRT stations position the company well to address the demand for urban housing. |
Technological | Adopting green building methods and incorporating technology for energy efficiency aligns with environmental concerns. ADCP should continue to innovate in construction practices to meet changing technological and environmental standards. |
Environmental | Environmental sustainability is important. ADCP can gain support and trust by promoting green operations and carefully planning the development of residential areas to preserve the environment. |
Legal | Compliance with laws and regulations is crucial in property development. ADCP should work closely with legal teams to navigate high-risk, high-reward activities and ensure adherence to existing legal frameworks. |
The positive economic outlook and supportive government policies create a favorable environment for ADCP. The company can capitalize on the growing real estate activities, especially in the context of increased development in various cities and planned capital cities. The focus should be on aligning strategies with the government’s initiatives and leveraging opportunities arising from economic growth.
Internal Analysis
The internal analysis reveals areas of financial stability and efficiency for ADCP. Despite challenges in liquidity and high debt levels, the company’s focus on TOD and positive profitability ratios position it as a competitive player in the industry.
Liquidity Ratio
ADCP’s liquidity ratios (Fig. 2) including Cash Ratio (1.15%) and Quick Ratio (5.18%) suggest challenges in meeting short-term liabilities. The Debt Equity Ratio (153%) indicates a higher proportion of liabilities compared to assets.
Solvency Ratio
The Solvency Ratio (Fig. 3) with an Interest Coverage of 10.14× suggests the company can cover its interest obligations. However, the Debt-to-assets ratio (0.6) implies a reliance on assets to fund operations.
Profitability Ratio
ADCP’s profitability ratios (Fig. 4), including Gross Profit Margin (25.87%), Operating Profit Margin (17.69%), and Net Profit Margin (9.84%), indicate positive but moderate profitability.
Valuation Results
Discounted Cash Flow
WACC Calculation: The Weighted Average Cost of Capital (WACC) is a critical element in the Absolute Valuation method. It is calculated by combining the cost of equity and the cost of debt, considering their respective weights in the company’s capital structure. The cost of equity is determined using the risk-free rate, Indonesia’s risk premium, and the company’s beta. ADCP’s beta, a measure of its risk-reward profile, is found to be 1.03, indicating it is theoretically 3% more volatile than the IDX Index. The WACC is calculated as 11.55%, influencing subsequent valuation calculations. Details are presented in Table II.
Variable | Value |
---|---|
Market value of equity | 1,333,333 million IDR |
Book value of debt | 1,306,766 million IDR |
Capital: Equity + Debt | 2,640,099 million IDR |
Weight of equity | 50.50% |
Weight of debt | 49.50% |
Cost of equity | 14.46% |
Risk free rate | 6.33% |
Beta | 1.03 |
Equity risk premium | 7.89% |
Cost of debt after tax | 8.58% |
Cost of debt before tax | 11% |
Tax rate | 22% |
WACC | 11.55% |
Cash Flow Projection: The Free Cash Flow to Firm (FCFF) model is employed to project the cash available after accounting for various factors such as operating expenses, taxes, and capital expenditures. This projection is crucial in determining the enterprise value of the company. The assumption used for the company’s growth rate derived from its annual growth rate from 2022 to 2023. While the assumption used for the terminal rate was determined from Indonesia’s average GDP growth rate from the past five years. Detailed calculations are in Table III.
2023 | 2024 | 2025 | 2026 | 2027 | 2028 | ||
---|---|---|---|---|---|---|---|
Base year | 1 | 2 | 3 | 4 | 5 | Terminal year | |
Revenue growth rate | 36.66% | 30.03% | 23.41% | 16.78% | 10.16% | 3.53% | 3.53% |
Ebit | 27,664 | 35,973 | |||||
Tax rate | 22% | 22% | 22% | 22% | 22% | 22% | |
Ebit after tax = nopat = ebit (1 − t) | 21,578 | 28,059 | 34,627 | 40,438 | 44,546 | 46,119 | |
Less net capital spending | 10,990 | 14,291 | 17,636 | 20,596 | 22,688 | 23,489 | |
Less change in net working capital | 203,077 | 264,069 | 325,884 | 380,884 | 419,235 | 434,043 | |
Free cash flow to the firm | 213,665 | 277,837 | 342,875 | 400,420 | 441,093 | 456,673 | 5,897,177 |
Weighted average cost of capital | 11.55% | 11.55% | 11.55% | 11.55% | 11.55% | 11.55% | |
Present value of fcff | 249,071 | 275,551 | 288,479 | 284,879 | 264,404 | 3,414,344 |
Intrinsic Value Determination: The Discounted Cash Flow approach involves deriving the intrinsic value of the company by summing all discounted cash flows from the base year to the terminal value. The calculated intrinsic value per share is Rp 159, indicating that the stock may be undervalued compared to the market price of Rp 60 as of July 5th, 2023. Details are presented in Table IV.
Variable | Value |
---|---|
Sum of PV | 4,776,728 million IDR |
Less debt | (1,306,766) million IDR |
Add cash & cash equiv. | 58,308 million IDR |
Value of equity | 3,528,270 million IDR |
No. of shares outstanding | 22,222 million IDR |
Estimated intrinsic value per share | 159 million IDR |
Share price (as of 5th July 2023) | 60 million IDR |
Price as a % of intrinsic value | 38% |
To complement the DCF result, this research used sensitivity analysis and Monte Carlo simulation. This combined approach enhanced the valuation model’s reliability, providing valuable insights into potential uncertainties and risks. The integration of sensitivity analysis and Monte Carlo simulation fortified the research’s analytical depth, contributing to a more informed decision-making framework.
Sensitivity Analysis: Recognizing the inherent uncertainties, a sensitivity analysis is conducted to understand how changes in key variables, including revenue growth, terminal growth rate, and risk-free rate, affect ADCP’s stock price (Vipond, 2023). The most sensitive variable is identified as Revenue Growth, followed by Terminal Growth Rate and Risk-Free Rate (Fig. 5). Details are presented in Table V.
Swing − 20% | Swing + 20% | |
---|---|---|
Revenue growth | −14.60% | 15.82% |
Risk free rate | 11.66% | −10.85% |
Terminal growth | −10.44% | 12.45% |
Monte Carlo Simulation: To further understand uncertainties and potential outcomes, a Monte Carlo Simulation is employed, considering variables such as revenue growth, risk-free rate, and terminal growth. The simulation (Fig. 6) generates 1000 outcomes that were 100% above the market price, which suggests that ADCP’s stock is consistently undervalued, providing insights into the range of possible scenarios for its share value.
Relative Valuation
Selection of Comparable Companies: Relative valuation emerges as a complementary method in this research, offering an alternative perspective on company valuation with those of its direct competitors in the TOD real estate development sector and the industry average.
- PT. Urban Jakarta Propertindo Tbk
- Metropolitan Land Tbk
- PT. PP Properti Tbk
- Average property industry
Use of Relative Ratios: Application of price-earnings ratio (P/E) and price-to-book value ratio (PBV) against four competitors and average property industry in general is presented in Table VI. The analysis reveals that ADCP is undervalued in the market with a PBV ratio of 0.54 and a P/E ratio of 64.52, both considerably lower than the industry averages of 1.09 and 159.66, respectively. This undervaluation positions ADCP favorably against its competitors, presenting an attractive investment opportunity.
Ticker | Price/Book | Price/Earnings |
---|---|---|
ADCP | 0.54 | 64.52 |
URBN | 0.20 | (11.22) |
PPRO | 0.68 | (79.37) |
MTLA | 0.61 | 21.79 |
Industry average | 1.09 | 159.66 |
Total value | Rp 29,798,484,738,000 |
Total value after tax (5%) | Rp 28,308,560,501,100 |
−Debt | Rp 3,798,306,492,866 |
+Cash | Rp 29,154,609,494 |
Total Nav | Rp 24,539,408,617,728 |
Net Asset Value (NAV)
Evaluation of assets and liabilities: NAV was used as method for valuation the company’s assets and liabilities to estimate the intrinsic market value. Details are presented in Table VIII.
Location | Project | Total land bank(ha) | Sales value of taxableobject (Rp) | Market price per sqm (Rp) | Total NAV (Rp) |
---|---|---|---|---|---|
Jakarta | Lrt City Tebet | 0.7 | 32,000,000 | 32,000,000 | 224,000,000 |
Lrt City Ciracas | 6.2 | 6,963,000 | 22,523,191 | 1,396,437,842,000 | |
Grandhika Jakarta | 0.2 | 49,863,000 | 134,580,237 | 269,160,474,000 | |
Semarang | Grandhika Semarang | 0.2 | 4,155,000 | 12,751,695 | 25,503,390,000 |
Medan | Grandhika Medan | 0.3 | 49,375,000 | 109,118,750 | 327,356,250,000 |
Bogor | Lrt City Sentul | 14.8 | 2,013,000 | 16,740,088 | 2,477,533,024,000 |
Pt. Mega Graha Citra Perkasa | 0.6 | 3,745,000 | 17,659,091 | 105,954,546,000 | |
Adhi City Sentul | 54 | 537,000 | 23,525,000 | 12,703,500.000.000 | |
Adhi City Sentul 2 | 31.6 | 537,000 | 25,333,333 | 8.005,333,228,000 | |
Bekasi | Lrt City Jatibening | 6 | 2,013,000 | 24,324,324 | 1,459,459,440,000 |
Lrt City Bekasi Timur Green Avenue | 2 | 537,000 | 16,652,789 | 333,055.,780.000 | |
Lrt City Bekasi Timur Eastern Green | 1.4 | 4,605,000 | 21,382,513 | 299,355,182,000 | |
Banten | Cisauk Point | 1.7 | 3,100,000 | 14,768,867 | 251,070,739.,000 |
OASE PARK | 5.3 | 2,176,000 | 11,300,000 | 598,900,000,000 | |
Cikunir | Lrt City Cikunir | 4.1 | 1,573,000 | 13,382,513 | 548,683,033,000 |
Cibubur | Lrt City Cibubur | 4.5 | 3,658,481 | 17,181,818 | 773,181,810,000 |
Discount to NAV: Market’s perception of the company’s value after considering potential opportunities and market sentiment. UnleveredDiscount=24,539,408,617,728−1,333,333,33224,539,408,617,728+3,798,306,492,866 UnleveredDiscount=82%
Intrinsic Value per Share: Perceived value of the company’s share after considering the Discount to NAV.
The analysis indicates a substantial discount to NAV at 82%, emphasizing external factors such as market sentiment, economic conditions, and the positive impact of the LRT commencement on the company’s revenue. The intrinsic value per share, calculated at Rp 200 (Table IX), signifies undervaluation, with a Margin of Safety at 70%, providing investors with a buffer against market fluctuations.
Discount to NAV (82%) | Rp 4,443,809,462,052 |
---|---|
Share Outstanding | 22,222,222,200 |
Nav per share | Rp 200 |
Current price | Rp 60 |
Current MOS (margin of safety) | 70% |
Conclusion and Recommendation
Conclusion
The conclusions that can be drawn to answer research questions based on the results of the analysis are as follows:
- Financial Performance of ADCP: the company demonstrates strong financial performance, with continuous growth supported by Transit-Oriented Development (TOD) projects and a solidifying position in the market, as indicated by three valuation methods (DCF, Relative Valuation, and NAV).
- Intrinsic Value Using DCF Method: This suggests that ADCP’s intrinsic value is significantly higher than its current stock price of Rp. 60, with the present value representing only 38% of the estimated intrinsic value.
- Most Sensitive Variables in DCF Method: The sensitivity analysis reveals that the three variables examined exhibit relatively low sensitivity. A swing of +20% and −20% in these variables influences changes of less than 20%.
- Probability Distribution of DCF Method: The Monte Carlo simulation consistently shows values of 100% above the market price in all 1000 simulated outcomes. This reaffirms the undervaluation of ADCP’s stock.
- Intrinsic Value Using Relative Valuation: The Relative Valuation, using P/E and PBV measures, indicates that ADCP’s stock is lower than the sector average. The company’s strong value proposition in the property industry is expected to drive its potential and enhance its P/E Ratio.
- Intrinsic Value Using Net Asset Valuation (NAV): The method suggests hidden value within ADCP, which the company can leverage. Optimizing landbanks through the development of commercial or residential TOD projects could contribute to a robust financial outlook.
Recommendation
The recommendation that the researcher can provide based on the results of the analysis found in this study were:
- For management, it suggests enhancing marketing, implementing strategic financial management, and integrating ESG principles to boost ADCP’s performance. Focus on operational efficiency, forge strategic partnerships, and plan for future development phases.
- For investors, it recommends buying or holding ADCP’s stock for its consistently undervalued status, with strategic recommendations for management reinforcing the investment proposition.
- For future studies, it recommends conducting a thorough analysis of ADCP’s valuation five years after it went IPO in the stock exchange and waiting until the completion of new LRT/MRT routes to get additional data and insights.
References
-
BI Economic Report (2023). Economic Report on Indonesia 2022. Synergy and innovation: Strengthening resilience and revival towards advanced Indonesia. Bank Indonesia. https://www.bi.go.id/en/publikasi/laporan/Pages/LPI_2022.aspx.
Google Scholar
1
-
Communication Department (2022, December 6). Bank Indonesia projects 4.5%–5.3% economic growth and inflation to return to the 3.0% ± 1% target range in 2023. Band Indonesia. https://www.bi.go.id/en/publikasi/ruang-media/news-release/Pages/sp_2432222.aspx.
Google Scholar
2
-
Damodaran, A. (2006). Damodaran on Valuation. 2nd ed. John Wiley & Sons, Inc.
Google Scholar
3
-
Dubreuille, S., Cherif, M., & Bellalah, M. (2016). Real options: An alternative valuation model for the U.S. REIT market. International Journal of Business, 21(1), 42–54.
Google Scholar
4
-
International Monetary Fund (2023). World Economic Outlook: A Rocky Recovery. International Monetary Fund.
Google Scholar
5
-
Morri, G., & Benedetto, P. (2009). Leverage and NAV discount: Evidence from Italian real estate investment funds. Journal of European Real Estate Research, 2(1), 33–55. https://doi.org/10.1108/17539260910959545
Google Scholar
6
-
Pramudita, W. P., & Nataadmadja, A. D. (2022). Analysis of the Performance of Light Rail Transit (LRT) Jakarta as a Transport Demand Management (TDM) Strategy. IOP Publishing. https://doi.org/10.1088/1755-1315/1169/1/012021
Google Scholar
7
-
PT. Adhi Commuter Properti Tbk (ADCP) (2022). 2022 Annual Report. PT. Adhi Commuter Properti Tbk (ADCP).
Google Scholar
8
-
Rahadi, R. A., Wiryono, S. K., Koesrindartoto, D. P., & Syamwil, I. B. (2013). Factors influencing the price of housing in Indonesia. International Journal of Housing Markets and Analysis, 8(2), 169– 188. https://doi.org/10.1108/IJHMA-04-2014-0008
Google Scholar
9
-
Vipond, T. (2023). What is Sensitivity Analysis? Corporate Finance Institute. https://corporatefinanceinstitute.com/resources/financial-mo&break;deling/what-is-sensitivity-analysis/.
Google Scholar
10
Most read articles by the same author(s)
-
Yustitia Fitria,
Raden Aswin Rahadi,
Kurnia Fajar Afgani,
Nur Arief R. Putranto,
Isrochmani Murtaqi,
Taufik Faturohman,
The Influence of Demographic, Financial Literacy and Information Factors on Investment Decision Among Millenial Generations in Bandung , European Journal of Business and Management Research: Vol. 4 No. 6 (2019) -
Ghani Rais Azka,
Taufik Faturohman,
Internal Startup Valuation of PT Telekomunikasi Indonesia, Tbk by applying Risk-based New Venture Valuation Technique (Case Study: Company V) , European Journal of Business and Management Research: Vol. 5 No. 1 (2020) -
Syane Rachma Dian,
Taufik Faturohman,
The Implementation of Risk-Based Budgeting and Cost Mapping: Study at Pt Kereta Api Indonesia (Persero) , European Journal of Business and Management Research: Vol. 8 No. 1 (2023) -
Hanifah Putri Kusumah,
Taufik Faturohman,
Impact of Restructuritation Strategies and Financial Instruments for Loan Loss Provision , European Journal of Business and Management Research: Vol. 8 No. 5 (2023) -
Melissa Marta Simanjuntak,
Taufik Faturohman,
Increase The Total Profit Achievement of Priority Unit by Analyzing Determinants of Total Profit Case Study: PT Bank SMS Balikpapan Branch Office , European Journal of Business and Management Research: Vol. 8 No. 3 (2023) -
Anjas Prio Prakoso,
Taufik Faturohman,
Forecasting Coal Price Using Static and Dynamic Stochastic Model as Based for Indonesia’s Mining Project Valuation with Real Option Method , European Journal of Business and Management Research: Vol. 9 No. 1 (2024)