The German automotive industry is critical for the European economy and a bellwether on global economic conditions generating hundreds of billions in revenues and providing thousands of jobs. Its complex operations are exposed to considerable risks beyond the uncertainties surrounding company performance.
This report focuses on Volkswagen AG and its major affiliated companies Audi, Porsche, Skoda, Scania, MAN and SEAT providing high quality, up to date structured intelligence on global risks.
- High risk signals such as investigations of anti-competitive behavior, money laundering, fraud or corruption.
- Business operations in risky jurisdictions such as OFAC-sanctioned countries.
- Legal issues such as ongoing and past litigation.
- Exposure to government financial and non-financial influence and connections with political entities and politicians.
- Various warning signals such as investor, management, product or workforce issues.
The report delivers both a high-level and a micro-perspective on the global risks which can impact significantly the Volkswagen Group’s profitability and stability, as demonstrated by the recent diesel issue.
The information structure allows the reader to:
- Scan for unfamiliar risks and quickly familiarize with every type of existing issues.
- Utilize the executive summary as a big-picture of company risks.
- Find a specific issue and quickly become aware of findings.
- Link short-form information with its thorough report and its relevant sources.
The reader can adjust the scope of information according to current needs:
- Each finding can be studied and used as an item separate from the rest of the report allowing concentrating on a specific issue.
- Each report section comprehensively informs about specific aspects of company operations.
- In its entirety the report represents a strategic company situation.
- Each of the seven Volkswagen Group reports can be used separately as an information source of its own.
- The report’s goal is to enhance greatly the Decision Maker’s knowledge on Volkswagen Group at the time of undertaking business and investment decisions, and his own due diligence process.
Reasons to Purchase:
- The report helps greatly to perceive the strategic picture and trends surrounding Volkswagen Group. At the same time it uncovers and informs of each finding which can be of specific interest to the Audience by itself.
- Receive the latest, high quality intelligence on Volkswagen Group’s non-financial risk factors impacting the Group’s future profitability.
- Take decisions upon objective and auditable information covering multiple jurisdictions and languages.
- Be aware of the Group’s current public image filtered of media noise.
- Get thorough but comprehensible information presented in a structured format which can be used as both quick high-level reference and very detailed source.
- Obtain a robust proof of investigation fulfilling regulatory requirements.
- Institutional Investors
- Private Investors
- Legal Professionals - Compliance and M&A
- Wealth Managers/Investment Advisers
- Compliance Officers
- Volkswagen Competitors
- Volkswagen Partners and Suppliers (Third Parties)
1. List of Acronyms and Definitions
2. Executive Summary
3. Volkswagen AG
3.1 Corporate Registration
3.2 Shareholders / Ultimate Beneficial Owner
3.3 Company Activities Overview
3.4 Regulatory Risks
3.5 High-Risk Signals
3.6 Government and Political Exposure
3.7 Warning Signals
3.7.1 Legal Issues
3.7.2 Management Issues
3.7.3 Product Issues
3.7.4 Workforce Issues
3.7.5 Other Issues
4. Audi AG
4.1 Corporate Registration
4.2 Shareholders / Ultimate Beneficial Owner
4.3 Company Activities Overview
4.4 Regulatory Risks
4.5 High-Risk Signals
4.6 Government and Political Exposure
4.7 Warning Signals
4.7.1 Legal Issues
4.7.2 Management Issues
4.7.3 Product Issues
4.7.4 Workforce Issues
4.7.5 Other Issues
5. Porsche Automobil Holding SE
5.1 Corporate Registration
5.2 Shareholders / Ultimate Beneficial Owner
5.3 Company Activities Overview
5.4 Regulatory Risks
5.5 High-Risk Signals
5.6 Government and Political Exposure
5.7 Warning Signals
5.7.1 Legal Issues
5.7.2 Management Issues
5.7.3 Product Issues
5.7.4 Workforce Issues
6. Škoda Auto A.S.
6.1 Corporate Registration
6.2 Shareholders / Ultimate Beneficial Owner
6.3 Company Activities Overview
6.4 Regulatory Risks
6.5 High-Risk Signals
6.6 Government and Political Exposure
6.7 Warning Signals
6.7.1 Legal Issues
6.7.2 Management Issues
6.7.3 Product Issues
6.7.4 Workforce Issues
6.7.5 Other Issues
7. Seat SA
7.1 Corporate Registration
7.2 Shareholders / Ultimate Beneficial Owner
7.3 Company Activities Overview
7.4 Regulatory Risks
7.5 High-Risk Signals
7.6 Government and Political Exposure
7.7 Warning Signals
7.7.1 Legal Issues
7.7.2 Management Issues
7.7.3 Product Issues
7.7.4 Workforce Issues
8. Scania AB
8.1 Corporate Registration
8.2 Shareholders / Ultimate Beneficial Owner
8.3 Company Activities Overview
8.4 Regulatory Risks
8.5 High-Risk Signals
8.6 Government and Political Exposure
8.7 Warning Signals
8.7.1 Legal Issues
8.7.2 Management Issues
8.7.3 Product Issues
8.7.4 Workforce Issues
9. Man SE
9.1 Corporate Registration
9.2 Shareholders / Ultimate Beneficial Owner
9.3 Company Activities Overview
9.4 Regulatory Risks
9.5 High-Risk Signals
9.6 Government and Political Exposure
9.7 Warning Signals
9.7.1 Legal Issues
9.7.2 Management Issues
9.7.3 Product Issues
9.7.4 Workforce Issues
9.7.5 Other Issues
10. Appendix: Sources
- Abi Dhabi International Petroleum Investment Company (IPIC)
- Acacia Srl
- Aluminum Smelter Company of Nigeria (Alscon)
- Audi Australia
- Audi Canada
- Audi España
- Audi Volkswagen Korea
- Audi Volkswagen Middle East FZE
- Bank Shahr
- Beiqi Foton Motor Co
- Bharat Heavy Electricals Limited (BHEL)
- Braman Automotive
- California State Teachers’ Retirement System (CalSTRS)
- China FAW Group Corporation
- China National heavy Duty Truck Group Co. (CNHTC)
- Deutsche Bahn
- Deutsche See
- Effecten-Spiegel AG
- Eight Mile Style
- Electricité du Liban
- Elliott Associates
- Energoimport Cuba
- FAW-Volkswagen Automotive Co.
- Freightliner LLC
- GAZ Group
- Gazprom Neft
- Giad Automotive Industry Co.
- Glenhill Capital
- Great Manchester Pension Fund
- Greenlight Capital
- Halla Holdings Corp.
- Illinois Investment Policy Board
- IM Skaugen Group
- Iowa Public Employees’ Retirement System (IPERS)
- Johnson Controls Abrera
- Jones Day
- JSC Uzavtosanoat
- Kuwait Oil Company
- MAN Diesel & Turbo North America, Inc.
- MAN Truck & Bus
- MAN Turbo
- MPC Group
- National Pension Service of Korea
- National Trailers Company Libya
- Norges Bank Investment Management
- Paice LLC
- Pakistan National Logistics Cell
- Perusahaan Listrik Negara
- Porsche AG
- Porsche Engineering
- Porsche Holding Salzburg
- Porsche SE
- Prevent Group
- Qatar Holding LLC
- Qatar Investment Authority
- SAIC Motor Corporation
- Scania Iraq
- Shaanxi Heavy-Duty Automobile Co.
- Shahr-e Atiyeh Investment Company
- Skoda India
- State Street
- Suzuki Motor Corp
- Tiger Global
- Union Investment
- VfL Wolfsburg
- Volkswagen do Brasil
- Volkswagen Group Canada
- Volkswagen Group of America
- Volkswagen South America
- VW Bank
- VW Commercial Vehicles
- Zhongwei Passenger Bus Co
- ZIL Jsc
The publisher employs advanced Data Science methods such as probabilistic inference and algorithmic reasoning to establish causal relations between outcomes such as company sales and profits, and the hidden processes that drive them. Furthermore, their methodology uses stochastic processes analysis to model and predict company performance in a period of three months ahead and formulate high-probability expectations for the next six to twelve month intervals.
The publisher relies strongly on analyzing inherently uncertain streams of information and all analytical output represents the highest confidence results of a specific study with two or more such results presented in the report whenever they discovered that several factors had similar impact on a target variable.