"Defensive Equities” Sdfsd

Total Page:16

File Type:pdf, Size:1020Kb

Alternative Konzepte für börsengehandelte Indexfonds Achim Stranz - CIO und Geschäftsführer This document is for education purposes only and exclusively for institutional investors. It must not be relied upon by Retail Clients and circulation must be restricted accordingly. Quantitative Kriterien der Aktienauswahl spielen auch bei börsengehandelten Indexfonds zunehmend eine größere Rolle. Smart-Beta-Konzepte folgen alternativen Indexregeln. Wie smart sind diese ETFs wirklich? 2 Der Unterschied zwischen operativem Unternehmer und Kapitalinvestor “ The only investors who shouldn’t diversify are those who are right 100% of the time… ” Sir John Templeton Aktienindices – Exchange Traded Funds Aktienindex Ein Aktienindex ist eine Kennzahl für die Entwicklung von ausgewählten Aktienkursen. Er soll die Entwicklung auf diesem Teilmarkt des weltweiten Finanzgeschehens repräsentativ dokumentieren. Den Ausgangspunkt für die Berechnung eines Aktienindex bildet stets ein bestimmter Zeitpunkt. Die nachfolgenden Änderungen der Kennzahl Aktienindex im Zeitablauf spiegeln fortan die Wertentwicklung (Performance) der im hypothetischen Portfolio enthaltenen Aktien wider. Quelle: Wikipedia 4 Aktienindices – Exchange Traded Funds Was bedeutet repräsentativ? Gewichtung der Bestandteile: Preisgewichteter Index Im preisgewichteten Index ist jede Aktie mit der gleichen Stückzahl vertreten. Aktien mit einem höheren Kurs haben dann auch einen größeren Einfluss auf den Index. Preisgewichtete Indizes sind zum Beispiel der Dow Jones Industrial Average und der Nikkei 225. Quelle: Wikipedia 5 Aktienindices – Exchange Traded Funds Was bedeutet repräsentativ? Gewichtung der Bestandteile: Kapitalisierungsgewichteter Index Ein kapitalisierungsgewichteter Index berücksichtigt vorrangig die Marktkapitalisierung (Beispiele: S&P 500, MSCI, DAX). Die Gewichtung im Index ist proportional zur berechneten Marktkapitalisierung (Freefloat) eines Unternehmens. Die Berechnung erfolgt durch Multiplikation der Anzahl der jeweiligen Aktie im Freefloat mit dem aktuellen Kurs. Quelle: Wikipedia 6 Aktienindices – Exchange Traded Funds Was bedeutet repräsentativ? Gewichtung der Bestandteile: Gleichgewichteter Index Ein gleichgewichteter Index beruht auf einer Rangliste anhand der Marktkapitalisierung oder eines anderen Kriteriums. Die Gewichtung im Index ist nicht proportional, sondern z.B. auf 10 % begrenzt. Beispiele sind der ÖkoDAX, Photovoltaik Global 30 Index und der DivDAX. Da sich durch Kursänderungen auch die prozentuale Zusammensetzung ändert, werden diese Indizes in regelmäßigen Abständen überprüft und anhand eines Regelwerks automatisch oder durch Einzelfallentscheidungen (z.B. bei Insolvenz eines Unternehmens) angepasst. Quelle: Wikipedia 7 Passives Investieren mit Index Replizierung und Index ETFs Die Nachbildung eines Marktkapitalisierungs-Index ist bequem aber möglicherweise nicht intelligent (smart)… Die relative Größe/Marktkapitalisierung eines Unternehmens basiert teilweise auf dem aktuellen Aktienkurs, der selbst wieder von Verhaltensmustern der Investoren beeinflusst ist (“fear and greed”) Marktkapitalisierungsindices exponieren Investoren zu “Risiken ohne Risikoprämienkompensation” – Hang zu Erfolgen der Vergangenheit (Risiko von Spekulationsblasen) – Geringe Risikodiversifizierung (Index dominiert von wenigen großkapitalisierten Unternehmen) 8 Source: AXA Rosenberg. Das Problem des Kapitalisierungsansatzes “What do behavioural bias lead to ?” “ A bubble is an asset class that is going up in price… that you don’t own ” Jeremy Siegel 1. Tulip Mania 2. South Sea /Mississippi Company Bubbles 3. Railway Mania 4. Florida Speculative Building Mania 5. Roaring 1920s/1929 6. Poseidon Bubble 7. Gold 8. Japanese Asset Bubble 9. Dot Com/Tech/Telecoms 10. Global Real Estate/Credit Bubble 11. China/Shanghai Index Stock Bubble 12. Commodity Bubble 13. Oil Bubble 14. Leverage/Derivative/Financial Bubble 9 Source: AXA Rosenberg. Neue Regeln der Indexkonstruktion (hypothetisches portfolio) Andere Regeln als klassische ETFs Smart Beta-ETFs – passive Produkte, – intelligentere Abbildung (?) der Märkte als bei klassischen Indexfonds – basieren dafür auf zusätzlichen oder abweichenden Regeln Gewichtung nach alternativen Kriterien – GDP Gewichtung – Gleichgewichtung – Gewichtung anhand fundamentaler Kriterien (z.B. überdurchschnittliche Dividendenrendite) – Gewichtung auf Basis ihres Risikos (Volatilität) – Gewichtung nach bestimmten Faktoren (z.B. Kursmomentum) 10 Source: AXA Rosenberg. SmartBeta: Was ist SB? Warum SB “Smart” ist, zumindest “Smart” sein kann? Der Begriff “SmartBeta” wird zur Beschreibung einer Vielzahl unterschiedlicher Investment- Ansätze genutzt… … die jedoch einige Gemeinsamkeiten aufweisen: – Marktkapitalisierung als Allokations-Algorithmus wird abgelehnt – Auf mechanistische Regel basierender Investmentansatz – Im Vergleich zu traditionellen, aktiven Investmentansätzen in der Regel eine höhere Transparenz bei niedrigeren Kosten – Effiziente Ausnutzung langfristiger Einflussfaktoren von Aktienertrag und -risiko Warum verspricht SmartBeta Erfolg? – SmartBeta vermeidet im Prinzip Preis-Irrationalitäten in Folge von Anlegerverhalten – SmartBeta vermeidet typischerweise Quellen von Risiken ohne Risikoprämienkompensation 11 Source: AXA Rosenberg. Anbieter von Indices, die von ETFs abgebildet werden Börsen Nicht Börsen Commerzbank American Stock Exchange Credit Suisse Tremont Bolsa de Valores Mexicana Dow Jones Company Bolsa de Valores Sao Paulo FAZ Bolsa Italiana FTSE Group Bolsa de Madrid FTSE Xinhua Index Budapest Stock Exchange Hedge Fonds Research Börse Stuttgart HSI Service Limited Chicago Board of Options Exchange (CBOE) International Index Company (ICC) Deutsche Börse AG Jefferies Financial Products Euronext Markit Indices India Stock Exchange and Services Morgan Stanley Capital Investement (MSCI) & Barra Istanbul Stock Exchange Nihon Keizai Shimbun (Nikkei)Prague Stock ExchangeRussell Investment Group Johannesburg Stock Exchange Standard & Poor's Korea Exchange STOXX limited Nasdaq Stock Exchange Nasdaq OMX Shanghai Stock Exchange (SSE) Shenzhen Stock Exchange (SZSE) Keine „fiduciary duty“, in der Regel geringe Singapore Exchange (SGX) Six-Swiss Exchange regulatorische Kontrolle. Thailand Stock Exchange Derzeit bei institutionellen US-Investoren heiß Tokyo Stock Exchange Wiener Börse AG diskutiert! 12 Aktives SmartBeta Management: AXA IM Philosophie Fokus auf Investment Ergebnisse Wie werden diese Ergebnisse erzielt? Reduktion des Risikos zyklischer Underperformance Exposure zu mehr als einer Risikoprämie Fokus auf gute Performance Exposure zu Fundamentaldaten mit nachgewiesenem Erfolg Geschicktes Ausnutzen von Risikoprämien Ausfiltern von riskanten Marktsegmenten Einzelrisiken vermeiden, Liquidität erhalten Diversifikation, dort wo sie am meisten nützt Transparenz Jede Einzelposition kann nachvollzogen werden “…designed with performance delivery and transparency in mind” 13 AXA IM Philosophie: Kernansätze SmartBeta Equity Volatility in Global Developed Market - Backtest : Earnings Sustainability in Global Developed Market - Backtest : Average Annual Return Jan 90 to Dec 14 25% 0.8 25% Average Annual Return Jan 90 to Dec 14 0.7 0.7 0.6 20% 20% 0.6 0.5 0.5 15% 15% 0.4 0.4 0.3 10% 10% 0.3 SharpeRatio 0.2 SharpeRatio 0.2 5% 5% 0.1 Annualised Return andRisk Annualised 0.1 Return andRisk Annualised 0% 0.0 0% 0.0 Low Sustainable Mid Sustainable High Sustainable Low Volatility Mid Volatility High Volatility Earnings Earnings Earnings Return Volatility Sharpe (right hand scale) Return Volatility Sharpe (right hand scale) Vermeiden Bevorzugen Investoren werden nicht adäquat kompensiert für hohe Volatilität oder geringe Gewinnstabilität Source: AXA Rosenberg (Exhibit created Feb 2015)*. Volatility is based on a proprietary AXA Rosenberg measure that combines beta and stock specific risk. Earnings Sustainability is based on a proprietary AXA Rosenberg measure of earnings sustainability: Low = bottom 30%, Middle = next 40%, High = top 30% of MSCI World names within each region globally each month. Volatility and Earnings Sustainability data was not captured in real time during the relevant timeframe and was recreated in February 2015. Buckets formed with square-root of market cap weights – not controlled for small cap bias nor investability. Average annualised compound returns and volatility calculated between from January 1990 to December 2014. Returns do not include transactions costs and are gross of fees. The information set forth above is based on hypothetical backtesting and is not an actual portfolio reflecting actual past performance and does not represent actual, current recommendations. Potential investors are strongly urged to review the disclaimers presented in the Appendix. Information presented is only for the use of Institutional Investors. Please note that the information provided herein relates to a timeframe when the strategy was not available for investment 14 G201412 - 893 SmartBeta: Generation I Backtest January 1990 – December 2014* Positiv: Vermeidet “Preis” als Allokations-Determinante 10% Fokus auf Risikoprämien die vom Investorenverhalten Fundamental Weighting profitieren 9% Return Negativ: Equal Weight 8% Stärker prozessorientiert als ergebnisorientiert Min Vol MSCI Value 7% MSCI Cap Nicht ausgeschlossen: unerwünschte Nebeneffekte Weighted – Geringe Volatilität MSCI Growth – Hohe Umschlagrate 6% – Konzentration 5% 11% 12% 13% 14% 15% 16% 17% 18% Möglicherweise mangelnde Transparenz Risk (Volatility) – Willkürliche Restriktionen
Recommended publications
  • China Investment Outlook & Sino-GDB Offshore PE Fund
    ChinaChina InvestmentInvestment OutlookOutlook && SinoSino--GDBGDB OffshoreOffshore PEPE FundFund China’s Economic Development Ø Overtook Japan as the world’s second largest economy in 2010 with GDP growth of 10.3% Ø Overtook US as the largest automobile market and Germany as the largest exporter in 2009 Ø China led the world out of the global recession in 2009, decoupling from the traditional US economic dominance Ø Chinese economy will surpass US in PPP terms between 2012 and 2015; by as early as 2020, China could become world's largest economic power by almost any measure www.gdbcapital.com China’s Top 5 Rankings www.gdbcapital.com US Golden Ages Gilded Age (1865-1900), 35 yrs Ø Greatest period of economic growth in US history Ø In its height in the 1880s: -GDP almost doubled from the decade before -Capital investment increased nearly 500% Roaring Twenties (1920-1929), 9 yrs Ø Urbanization reached a climax in 1920s, more Americans lived in cities than in small rural areas Ø Prosperity driven by government growth policies, a boom in construction, and rapid growth of consumer goods such as automobiles Post WWII Economic Expansion (1945-1970), 25 yrs Ø Swell of the middle class Ø Keynesian economic policies www.gdbcapital.com Other Countries’ Golden Ages Japan Post-War Economic Miracle (1945-1990), 45 yrs Ø Real economy growth averaging; - 10% in the 1960s - 5% in the 1970s, and - 4% in the 1980s Ø Ended by failure by BOJ to cut interest rate quickly enough to counter the overhang of over-investment in the 1980s; Japan enters into “the
    [Show full text]
  • Appendix a the Stock Market Climbs a Wall of Worry the World Is a Scary Place
    www.rebalance360.com Appendix A The Stock Market Climbs A Wall of Worry The world is a scary place. Every year, there are new things to worry about. But through it all – World Wars, violence, recessions, depressions, hurricanes, terrorist attacks and other catastrophes – the Global Stock Market has continued to grow over many decades. S&P 500 Year Events Total Returns* 1934 Massive Wall Street reforms passed; National Recovery Act price controls; Hitler declares himself Fuhrer -1% 1935 Italy invades Africa; Hitler rejects Versailles treaty; Dust Bowl; Social Security Act; NRA overturned 47% 1936 Hitler occupies Rhineland; Nazi appeasement; Spanish Civil War; top US tax bracket hits 79% 32% 1937 Short but sharp US recession - Capital spending & industrial production drop; Japan invades China -35% 1938 Nazis annex Austria and invade Czechoslovakia; New England hit by major hurricane 29% 1939 Germany & Italy sign military pact; Britain, France and Poland form alliance Poland invaded, beginning WWII -1% 1940 France falls to Hitler; Battle of Britain; top US income tax bracket over 81%; Wall Street regulations passed -11% 1941 Pearl Harbor; Germany invades USSR; US declares war on Japan, Italy & Germany -13% 1942 Wartime price controls; Battle of Midway; top US income tax bracket over 88% 19% 1943 US Meat & Cheese rationed; price & wage controls; major U-boat attacks; fed. deficit exceeds 30% of US GDP 25% 1944 Consumer goods shortages; Allies invade Normandy; top US income tax bracket hits record 94% 19% 1945 Post-war recession predicted;
    [Show full text]
  • Mining Practice Guides Mining
    v Mining Practice Guides Mining Editor Michael Bourassa © Law Business Research 2019 Mining Practice Guide Editor Michael Bourassa Reproduced with permission from Law Business Research Ltd This article was first published in January 2019 For further information please contact [email protected] © Law Business Research 2019 Publisher Tom Barnes [email protected] Subscriptions Claire Bagnall [email protected] Senior business development managers Adam Sargent [email protected] Dan White [email protected] Published by Law Business Research Ltd 87 Lancaster Road London, W11 1QQ, UK Tel: +44 20 3780 4147 Fax: +44 20 7229 6910 © Law Business Research Ltd 2018 No photocopying without a CLA licence. First published 2018 First edition ISBN 978-1-78915-124-4 The information provided in this publication is general and may not apply in a specific situation. Legal advice should always be sought before taking any legal action based on the information provided. This information is not intended to create, nor does receipt of it constitute, a lawyer–client relationship. The publishers and authors accept no responsibility for any acts or omissions contained herein. The information provided was verified between August and November 2018. Be advised that this is a developing area. Printed and distributed by Encompass Print Solutions Tel: 0844 2480 112 © Law Business Research 2019 Acknowledgements The publisher acknowledges and thanks the following for their assistance throughout the
    [Show full text]
  • Managerial Accounting
    Money and Banking Economic Bubbles: Analysis, Predictability and Aftermath Currier and Ives, 1875. Executive MBA Professor: Jean-Claude Oswald Author: Constant Gbaguidi August 2006 Date Page EMBA_Bubbles_060810 10. August 2006 1 of 22 Table of contents 1. Introduction 3 2. Analysis of Bubbles 4 2.1. Some Famous Bubbles 4 2.1.1. Tulipmania (1637) 4 2.1.2. Poseidon (1969) 4 2.1.3. Beanie Babies (1996) 4 2.1.4. The Internet Bubble (2000) 4 2.2. Basics 5 2.3. Bubble Cycle 7 2.3.1. Inflation 8 2.3.2. Rise Over Fundamental Value 9 2.3.3. Market Mood and Communication 14 3. Bubble Predictability 17 4. Bubble Aftermath 18 4.1. Similarities between the Internet Bubble and the Great Depression 18 4.2. De-bubbling 18 4.3. Bubble Virtues and Vices 19 5. Conclusion 21 6. References 21 Date Page EMBA_Bubbles_060810 10. August 2006 2 of 22 1. Introduction The business cycle is made up of periods of expansion and contraction. Sharp expansion is called bull and sharp contraction is called bear. This is a normal wealth creation process, in the first place. However, history has witnessed many occurrences of abnormal expansions, with three-digit growth rates on a given market: the appropriate term to qualify such a state is ll u economic bubble. Consider B what happened to Ababacar Diop in 2000 [13]: he was paid Be €4,000,000 to give up the a domain name vizzavi.fr that he rr had bought earlier for a couple of hundred euros. Such an event happens in many markets every year but many such events happened between 1996 and 2000.
    [Show full text]
  • WINTON EXTRACT BOOK III.Indd 1 16/10/2015 12:42 WINTON EXTRACT BOOK III.Indd 2 16/10/2015 12:42 PART III
    An extract from PART III WINTON EXTRACT BOOK III.indd 1 16/10/2015 12:42 WINTON EXTRACT BOOK III.indd 2 16/10/2015 12:42 PART III WINTON EXTRACT BOOK III.indd 3 16/10/2015 12:42 WINTON EXTRACT BOOK III.indd 4 16/10/2015 12:42 Florence’s Speculative Firenze 14th Century Crisis 1337–1345 In 1300, Florence’s Bardi and Peruzzi banks were undisputed champions of the lending field. They had won their spurs with their consummate mastery over commodities trading, but their vaulting ambition had encouraged them to enter into weak alliances with foreign lords and, after suffering several bruises, they were finally knocked off their steeds in the 1340s. Start of the War between Florence Edward III’s default on Hundred Years War and Pisa sovereign debt 1337 1338 1339 1340 1341 1342 1343 1344 Expulsion of Florentine Duke of Athens seizes Bankruptcy of bankers from Venice power in Florence Bardi & Peruzzi WINTON EXTRACT BOOK III.indd 5 16/10/2015 12:42 4 | THE PIT & THE PENDULUM IN SEARCH OF PASTURES NEW At the turn of the 14th century, European fi nance became increasingly reliant on the king’s willingness was dominated by Florentine merchant banking to repay his debts. At fi rst, both banks lent prudently families, the two largest of which were the Bardi and and did not overextend themselves. the Peruzzi. Their banks were immensely profi table In 1337, however, Edward III launched the Hundred institutions, operating all over Europe. In addition Years War and immediately requested big loans to lending, they engaged in international trade from the Florentine banks to fund his designs on the (primarily in grain, cloth and wool), commodities French crown.
    [Show full text]
  • Learnings from Stock Market Crashes Across 68 Countries and ~1900 Years of Data May 2019
    Learnings from Stock Market Crashes Across 68 Countries and ~1900 Years of Data May 2019 By: Maneesh Shanbhag, CFA Summary • We studied almost 1900 years of equity markets data across 68 Developed, Emerging, and Frontier countries • On average across countries: o Smaller corrections of 10-30% occur every 2-4 years, and recover within months o Big crashes of 40% or worse occur on average every decade, and recoveries can take 5- 10 years or longer • The two main causes of market crashes are debt crises and bubbles; these are the events investors need to prepare for to avoid permanent loss • Crashes tend to be global, so all markets are affected. Global diversification does not reduce exposure to this risk. Diversification within equities is overrated while diversification across asset classes is under utilized Introduction Investing is risky, but all risks are not the same. We think investors are overly fearful of the ups and downs in markets. Most of this volatility is just noise where prices recover quickly. The big market crashes are caused by economic crises and therefore can take many years to recover from. This paper is a study of both shallow and deep market drawdowns and what investors should do about each one. Many people consider the daily price movements (i.e. volatility) of publicly traded assets as risk. This risk is temporary, and it is significantly less important than the risk of permanent loss, which can change the trajectory of your returns forever. For this reason, we are most concerned about the risk of permanent losses and think most investors should be, too.
    [Show full text]
  • House Prices and the Banks Part 2
    Steve Keen’s Debtwatch House Prices and the Banks Part II April 11th 2011 This Time Had Better Be Different: House Prices and the Banks Part 2 Figure 1 Bank Shares and House Prices 1880-2011 500 CPI-deflated Bank Share Index Real House Prices CPI-deflated All Ordinaries 400 300 200 Index 1880=100 (1997=100 for All Ords) 100 0 1880 1890 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 2020 Global Financial Database AUABIIM + ASX Financials; Nigel Stapledon House Price Index + ABS; Yahoo Financ In last week’s post I showed that there is a debt‐financed, government‐sponsored bubble in Australian house prices (click here and here for earlier installments on the same topic). This week I’ll consider what the bursting of this bubble could mean for the banks that have financed it. Betting the House For two decades after the 1987 Stock Market Crash, banks have lived by the adage “as safe as houses”. Mortgage lending surpassed business lending in 1993, and ever since then it’s been on the up and up. Business lending actually fell during the 1990s recession, and took off again only in 2006, when the China boom and the leveraged‐buyout frenzy began. www.debtdeflation.com/blogs Page 1 Steve Keen’s Debtwatch House Prices and the Banks Part II April 11th 2011 Figure 2 Bank Loans Australia 6 110 5 Real Estate 910 Personal 5 810 Commercial 5 710 5 610 5 510 $ million 5 410 5 310 5 210 5 110 0 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 RBA Sheet B02 Regular readers will know that I place the responsibility for this increase in debt on the financial sector itself, not the borrowers.
    [Show full text]
  • The Energy Transition to Energy Democracy
    The energy transition to energy democracy Power to the people Final results oriented report of the REScoop 20-20-20 Intelligent Energy Europe project Co-funded by the Intelligent Energy Europe Programme of the European Union Acknowledgements This publication is the Final results oriented report of the REScoop 20-20-20 Intelligent Energy Europe project. This project ran from the end of March 2012 until the end of March 2015. REScoop 20-20-20 is an initiative launched by most of the founding members of REScoop.eu, the Federation of groups and cooperatives of citizens for renewable energy in Europe, with the support of the Intelligent Energy Europe Program of the European Commission. Twelve organisations in seven countries joined forces to increase the number of successful citizen-led renewable energy projects across Europe. This publication is written by Dirk Vansintjan, board member of the Belgian REScoop Ecopower and acting president of REScoop.eu. The author wishes to thank Siward Zomer (ODE Nederland); Relinde Baeten, Daan Creupelandt, Tom Willems, Jan De Pauw, Jim Williame (Ecopower); Andreas Wieg (DGRV); and Laurie Guevara-Stone (Rocky Mountain Institute) for their contribution, for reading through the text and providing many valuable suggestions for improvement. Any errors remaining are my responsibility alone. I would like to thank Dan Frett for the English translation and editing (www.werkwoord. eu). Any mistakes are due to later additions by non native speakers. Thanks to Wim De Meulder (MeMO) for the layout concept. Photographs and illustrations are our own, or available via Wikimedia Commons, or used with authorisation. Anything written by ourselves can be freely used, quoted, copied and distributed when mentioning the author and REScoop.eu.
    [Show full text]
  • Goldfields-Esperance Regional Investment Blueprint
    Draft Goldfields-Esperance Regional Investment BLUEPRINT A Plan for 2050 March 2016 Acknowledgments The Goldfields-Esperance Development Commission respectfully acknowledges the Traditional Owners of the land in this region, in which we reside, and Elders both past and present. The important role Aboriginal people continue to play within the Goldfields-Esperance community is acknowledged, together with the ongoing effort that is made to protect and promote Aboriginal cultures which will leave a lasting legacy for future Elders and leaders. In addition, the Goldfields-Esperance Development Commission would like to acknowledge RPS Australia and the Department of Regional Development for their assistance in developing this Regional Investment Blueprint and to thank our State and regional stakeholders who provided input into the document. A Roadmap For Regional Development In 2010 the State Government of The ‘Structuring Regional The Goldfields-Esperance Regional Western Australia recognised that Development for the Future’ Review Investment Blueprint (the Blueprint) to ensure future economic and (known as the Duncan Review) is a roadmap for the future social community aspirations in regional presented an opportunity for Western and economic growth and prosperity Western Australia were met, the Australia’s nine regions to plan of the region to 2050 and beyond. development of strategic plans was strategically for long-term change By identifying opportunities, required to guide collective and through the development and challenges, priorities and strategies, coordinated action across the State1. implementation of Regional Investment it provides a credible and guiding Blueprints. The Blueprints are framework that will foster economic developed in the region, by the opportunity and build vibrant region, for the region’s future.
    [Show full text]
  • The Evolution of Thought on the Availability of Non-Renewable Natural Resources in the Long Run
    THE EVOLUTION OF THOUGHT ON THE AVAILABILITY OF NON-RENEWABLE NATURAL RESOURCES IN THE LONG RUN by Wilhelm Pieter Nel Submitted in accordance with the requirements for the degree of Master of Commerce in the subject Economics At the University of South Africa Supervisor: Prof D Hodge 6 September 2020 i DECLARATION I declare that the work I am submitting for assessment contains no section copied in whole or in part from any other source unless explicitly identified in quotation marks and with detailed and complete referencing. 6 September 2020 (Signature of WP Nel) Date ACKNOWLEDGEMENTS I would like to acknowledge the assistance that I have received from my supervisor, Professor Duncan Hodge at Unisa’s Department of Economics. ABSTRACT There are different views about the availability of non-renewable resources in the long run. Hotelling’s (1931) seminal model of exhaustible resources greatly influenced subsequent studies. Hotelling’s and related fixed-stock models imply decreasing availability and increasing real prices of non-renewable resources in the long run. However, most of the empirical evidence does not support the prediction of higher real price trends. Hotelling’s model has been criticised for ignoring certain factors relevant to the discovery and innovation-driven creation of additional non-renewable reserves. Contrary to Hotelling’s fixed-stock assumption, this may expand the total stock of non-renewable resources available for profitable extraction. The main research objective of this study is to address this problem by identifying a broader range of factors to be used when constructing models of the availability of non-renewable resources.
    [Show full text]
  • 1. Introduction
    1. Introduction 1.1 Motivations of the study It is a footnote in the literature that reminds me of a Chinese-edition book I read when I was a freshman in 1998. In the first edition book called “A Random Walk Down Wall Street”, Malkiel (1973) referred to the “tronics boom” in the 1959-1962 period. With the dawn of the space age, every electronics stock suddenly took off like a rocket on Wall Street. It was called the boom because stock offerings often included some garbled version of the word “electronics1” in their name even if their products or services were not related to electronics. Investors and speculators aggressively bought these stocks, but the bubble burst in 1962 and many of the stocks quickly lost ninety percent of their value. Other economic bubbles like the tulipomania in 1637, the bubble of South Sea Company and Mississippi Company in 1720, the Poseidon bubble2 in 1970, and the Biotech bubble in the 1980s were a necessary consequence of irrationally valuing assets, however, in the view of hindsight. In the end of 20th century, the Internet was a revolution that had blown away all the old rules about how the stock market works. When price per dream ratios replaced price per earning ratios, investors would be glad to pay a large premium for all the stocks in such a glamorous industry. Just as “tronics” adorned the names of 1960s’ favorites, “dotcom” and other words connected to the concept of internet, even letters like “E” or ”I”, all became the most attractive ornaments in the name of companies.
    [Show full text]
  • Valuation & Corporate Finance Advisors Forum 6
    Valuation & Corporate Finance Advisors Munich, Germany 14 November 2016 Forum 6 | „Unternehmensbewertung in der Nullzins-Ära“ 14. Deutscher Corporate Discussion Materials M&A-Kongress Content Concerning the content of this document please contact: Development Interest Yields Daniel Kittlauss Parameters in valuation formula Managing Director, Frankfurt Valuation Advisory Services Market Cap versus Earnings expectation +49 (0)170 786 3531 Implied cost of capital and implied market risk premia [email protected] Countries with over- under valuation in stock market Andreas Stoecklin Managing Director, Munich Development of Corporate debt market Corporate Finance +49 (89) 388 884 120 So where is the next invest bubble in 2017? [email protected] Klaus Pflum Senior Advisor Corporate Finance +49 (89) 388 884 110 [email protected] Duff&Phelps 2November14,2016 1987, 1997, 2007: The Next “Lehman”… Coming in 2017?“ Investors snapped up shares The NASDAQ Composite, home to of South Sea Company more most of the dot-com companies, 1720 soard from under 500 to over 5000 than eight-fold over 6- South Sea Company 2017 ? months period before it in 15 months. Hundreds of these A British joint-stock company and companies achieved multi-billion Sovereign Bonds bubble collapsed, in expectation of a public-private partnership Global central bankers are busy keeping the repeat of the success of the dollar valuation as soon as they created to consolidate and went public financial system liquid with helicopter East India
    [Show full text]