Property Catastrophes and Equity Markets
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The Future of Midlatitude Cyclones
Current Climate Change Reports https://doi.org/10.1007/s40641-019-00149-4 MID-LATITUDE PROCESSES AND CLIMATE CHANGE (I SIMPSON, SECTION EDITOR) The Future of Midlatitude Cyclones Jennifer L. Catto1 & Duncan Ackerley2 & James F. Booth3 & Adrian J. Champion1 & Brian A. Colle4 & Stephan Pfahl5 & Joaquim G. Pinto6 & Julian F. Quinting6 & Christian Seiler7 # The Author(s) 2019 Abstract Purpose of Review This review brings together recent research on the structure, characteristics, dynamics, and impacts of extratropical cyclones in the future. It draws on research using idealized models and complex climate simulations, to evaluate what is known and unknown about these future changes. Recent Findings There are interacting processes that contribute to the uncertainties in future extratropical cyclone changes, e.g., changes in the horizontal and vertical structure of the atmosphere and increasing moisture content due to rising temperatures. Summary While precipitation intensity will most likely increase, along with associated increased latent heating, it is unclear to what extent and for which particular climate conditions this will feedback to increase the intensity of the cyclones. Future research could focus on bridging the gap between idealized models and complex climate models, as well as better understanding of the regional impacts of future changes in extratropical cyclones. Keywords Extratropical cyclones . Climate change . Windstorms . Idealized model . CMIP models Introduction These features are a vital part of the global circulation and bring a large proportion of precipitation to the midlatitudes, The way in which most people will experience climate change including very heavy precipitation events [1–5], which can is via changes to the weather where they live. -
AQR Long-Short Equity Fund June 30, 2021
AQR Long-Short Equity Fund June 30, 2021 Portfolio Exposures NAV: $285,388,574 Asset Class Security Description Exposure Quantity Equity 10x Genomics Ord Shs Class A (1,119,895) (5,719) Equity 2U Ord Shs (1,390,820) (33,377) Equity 3M Ord Shs 625,287 3,148 Equity A O Smith Ord Shs 345,888 4,800 Equity A P Moller Maersk Ord Shs Class B 2,911,918 1,013 Equity A2A Ord Shs 165,115 80,761 Equity AAK Ord Shs 113,885 5,078 Equity Aalberts Ord Shs (91,796) (1,708) Equity Abb Ord Shs (208,203) (6,131) Equity Abbott Laboratories Ord Shs 1,423,736 12,281 Equity AbbVie Ord Shs 373,852 3,319 Equity ABC Mart Ord Shs 183,656 3,200 Equity Abcam Ord Shs (676,557) (35,463) Equity Abiomed Ord Shs 74,594 239 Equity Abrdn Ord Shs 1,120,165 299,211 Equity Acadia Healthcare Company Ord Shs (287,144) (4,576) Equity Acceleron Pharma Ord Shs (610,885) (4,868) Equity Accenture Ord Shs Class A 824,528 2,797 Equity Acciona Ord Shs (330,764) (2,191) Equity Accor Ord Shs (105,683) (2,830) Equity Acerinox Ord Shs 990,597 82,014 Equity ACI Worldwide Ord Shs 656,152 17,667 Equity Acom Ord Shs (501,051) (114,900) Equity Acs Actividades De Construccion Y Servicios Ord Shs (378,803) (14,140) Equity Activision Blizzard Ord Shs 1,054,039 11,044 Equity Acuity Brands Ord Shs (290,645) (1,554) Equity Adaptive Biotechnologies Ord Shs (1,124,712) (27,526) Equity Adecco Group Ord Shs 1,615,380 23,754 Equity Adevinta Ord Shs (986,947) (51,472) Equity Adidas N Ord Shs (682,342) (1,833) Equity Adient Ord Shs 31,414 695 Equity Admiral Group Ord Shs (1,950,914) (44,918) Equity Adobe Ord -
Return Periods of Losses Associated with European Windstorm Series in a Changing Climate
Return periods of losses associated with European windstorm series in a changing climate J.G. Pinto (a,b) M.K. Karremann (b) M. Reyers (b) M. Klawa (c) (a) Univ. Reading, UK (b) Univ. Cologne, Germany (c) Deutsche Rück, Germany Contact: [email protected] 1 Joaquim G. Pinto Bern 01 Sept. 2015 Motivation - European Storm Climatology, Top 15 Events Storm Storm Economic Damage Storm Name Fatalities rank Year Actual (USD) 1 1999 Lothar 137 11,350,000,000 2 2007 Kyrill 47 10,000,000,000 1990 season 3 1990 Daria 97 7,000,000,000 1999 season 4 2010 Xynthia 64 6,100,000,000 5 1999 Martin 90 6,000,000,000 6 2009 Klaus 28 6,000,000,000 7 2005 Erwin 18 5,505,000,000 8 1976 Capella 0 5,000,000,000 9 1987 Great Storm of 1987 23 4,000,000,000 10 1990 Vivian 50 3,500,000,000 11 1999 Anatol 27 3,000,000,000 12 2002 Jeanett 38 2,531,000,000 13 1995 Thalia 28 2,310,000,000 Multiple occurrences per year may be critical 14 1990 Wiebke 67 2,260,000,000 for contractual reasons 15 1990 Herta 30 1,960,000,000 Source: Perils 2 Joaquim G. Pinto Bern 01 Sept. 2015 Serial clustering of cyclones over North Atlantic / Europe Physical processes: a) Steering by large-scale patterns b) Secondary cyclogenesis (cyclone families) Jet stream, NAO++ Dispersion Dispersion statistics Ψ <0: serial regularity All P95 Ψ =0: serial randomness Ψ >0: serial clustering Sources: Pinto et al., 2009, Clim. -
Explanations for the Momentum Premium
CAPITAL MANAGEMENT Tobias Moskowitz, Ph.D. Summer 2010 Fama Family Professor of Finance University of Chicago Booth School of Business EXPLANATIONS FOR THE MOMENTUM PREMIUM Momentum is a well established empirical fact whose premium is evident in over 83 years of U.S. data, in 20 years of out of sample evidence from its original discovery, in 40 other countries, and in more than a dozen other asset classes. Its presence and robustness are remarkably stable and, along with the size and value premia, these investment styles have become the preeminent empirical regularities studied by academics and practitioners. And, like size and value, there is much debate and little consensus regarding the explanation driving this premium, though there are some compelling theories. In this short note, we summarize briefly the risk-based and non-risk based explanations for momentum. While the jury is still out on which of these explanations better fit the data, we emphasize that similar uncertainty regarding the explanation behind the size and value premium also exists. Much like momentum, stories for the size and value premium range from risk-based to behavioral and there is a healthy debate over which of these theories is most consistent with the facts. These debates are likely to continue for the foreseeable future, but as we discuss below there are many viable candidate theories for their existence—and the truth behind the source of these premia probably contains elements from several explanations. Non Risk-Based Explanations Some argue that the momentum premium is driven by non-risk factors, many of which have a behavioral flavor. -
I Don't Think I Need to Remind Anyone Here What a Catastrophic Event The
I don’t think I need to remind anyone here what a catastrophic event The Great Storm of 1987 was. In the build-up to its 30th anniversary last month we were treated to almost round the clock coverage in the media – on its meteorological back story - its violent trajectory across the southern half of the country - and everything from well-publicised and embarrassing forecasting failures - to the exponential loss of trees. I have a very personal reason for writing this book and this evening, I’d like to tell you how I came to write it, and where it all began; what I learned about storms and what this one, in particular, taught us and also how the themes of the title, Landscape, Legacy and Loss - came to define my own unique perspective - in the reframing and retelling of this powerful, collective national memory - 30 years on. 1 But let’s start with the weather… As our lifestyles change - as fewer of us work outdoors or have our livelihoods influenced by the weather – we’re much less affected by it than we used to be. This gradual disconnection from the outside world, means that weather events need to be truly exceptional before they stick in our minds - and that we quickly forget all but the most extreme, the most outrageous. If you were to ask a cross section of the population to give you their most vivid weather memories - each generation would be able to tell you about their own exceptionally hot or wet summer or their coldest, most severe winter. -
Pension News Dec 14.Pdf
Pearl Group Staff Pension Scheme December 2014 PENSION news INSIDE: • Club updates pages 4-6 • Lunch at High Holborn page 7 2 Pension news It is our sad duty to tell you that Lynne Coniff, who edited Pension News for the last 13 years, passed Hello… and welcome to away on 22 November 2014. As Lynne had already prepared this the December 2014 issue of Pension News. latest edition we thought it was It seems like no time at all since I The Editor, Pearl Pension News, fitting that it should be published as introduced you to the Summer issue! First Actuarial LLP, First House, Lynne had intended. Lynne will be I’m glad to report that you’re still Minerva Business Park, Lynch Wood, missed by everyone who had the enjoying stirring up old memories Peterborough PE2 6FT. privilege of working with her and of your time with the Pearl – we’ve our thoughts are with Mike, Lynne’s Wishing you a wonderful Christmas had a couple of replies to the ‘mighty husband, and the rest of her family and a happy New Year. oaks’ article in the last issue, which at this difficult time. Lynne Coniff celebrated the 150th birthday of Pearl, Editor and the 65th birthday of the Pearl 2015 pension pay dates Pension Scheme. We also have two more ‘add the name’ challenges – one The pension pay dates for 2015 in the form of a sketch, which should are as follows: prove interesting! 23 Jan 22 May 25 Sept 25 Feb 25 June 23 Oct As always, please keep your 25 March 24 July 25 Nov contributions coming: 24 April 25 Aug 22 Dec Pension news 3 Stirring up memories Mr Alan F Lankshear Allan G Cook from Halstead, Essex wrote: “I recognised several Following the article ‘From little acorns, mighty names but one in particular prompted memories of my early oaks grow’ in the last issue, we received two days at Pearl and that is of Mr Alan F Lankshear. -
Ideas for a Low-Expected-Return World
A S S E T A L L O C A T I O N Ideas for a Low-Expected-Return World 1Q 2012 The No. 1 challenge for investors is: How can we achieve 4%–5% medium-term real return targets (or 7%–8% nominal) if the expected return of a 60/40 equities/bonds portfolio is below 3%? Investors’ responses vary. Wishful thinking has been one approach (witness nominal return assumptions still near 8% for many pension funds), and increasing allocations to equities another. However, poor results and growing awareness of forward-looking valuations — their relevance in predicting returns and their still-uninspiring message about prospective returns — have led investors to look elsewhere. Over the past decade, many investors adopted the “endowment model” and diversified into various alternative asset classes, combining reliance on the equity premium with faith in an illiquidity premium and in hedge fund alpha. The experience has been mixed. There were some successes but many investors were disappointed in both their return and diversification realizations, as alternative investments moved in synch with the 60/40 portfolio and the true costs of private equity investments were revealed as commitments paralyzed many investors and forced them to sell liquid holdings. We think that risk-balanced diversification across well-chosen return sources is the most reliable strategic approach to achieving ambitious real return targets. AQR Capital Management, LLC, (“AQR”) provide links to third-party websites only as a convenience, and the inclusion of such links does not imply any endorsement, approval, investigation, verification or monitoring by us of any content or information contained within or accessible from the linked sites. -
The Great Storm of 1987: 20-Year Retrospective
THE GREAT STORM OF 1987: 20-YEAR RETROSPECTIVE RMS Special Report EXECUTIVE SUMMARY The Great Storm of October 15–16, 1987 hit northern France and southern England with unexpected ferocity. Poorly forecast, unusually strong, and occurring early in the winter windstorm season, this storm — known in the insurance industry as “87J” — has been ascribed negative consequences beyond its direct effects, including severe loss amplification, and according to one theory, the precipitation of a major global stock market downturn. Together with other catastrophic events of the late 1980s and early 1990s, the storm brought some companies to financial ruin, while at the same time creating new business opportunities for others. The global reinsurance industry in particular was forced to adapt to survive. In this climate, the way was clear for new capital to enter the market, and for the development of innovative ways to assess and transfer the financial risk from natural hazards and other perils. Twenty years following the 1987 event, this report chronicles the unique features of the storm and the potential impact of the event should it occur in 2007, in the context of RMS’ current understanding of the windstorm risk throughout Europe. The possible consequences of a storm with similar properties taking a subtly different path are also considered. In 1987, losses from the storm totalled £1.4 billion (US$2.3 billion) in the U.K. alone. RMS estimates that if the Great Storm of 1987 were to recur in 2007, it would cause between £4 billion and £7 billion (between US$8 billion and US$14.5 billion) in insured loss Europe-wide. -
The Human Element in Forecasting - a Personal Viewpoint Martin V Young (Guidance Unit, UK Met Office, Exeter)
The Human Element in Forecasting - a Personal Viewpoint Martin V Young (Guidance Unit, UK Met Office, Exeter) Introduction experienced Lead Forecasters recognise these all- important psychological aspects without necessarily “It should have been obvious all along that the fog realising it. Examples are addressed in turn in this wouldn’t clear…” paper. “Why didn’t the previous shift issue the thunderstorm warnings sooner?” Whilst a thorough underpinning meteorological “Why have we been lumbered with those snow warn- knowledge should be a pre-requisite, this paper aims ings that were clearly overdone?” to provide an insight and awareness into the all- important human factors that can influence the deci- How often have we asked such questions of sion-making process. Whilst other authors (e.g. colleagues, or even ourselves, on a forecasting shift? Doswell 2004) have addressed decision-making in And what lessons can we, as forecasters, learn, not so weather forecasting with the help of cognitive much about the meteorological science, but how we psychology, this paper uses examples (largely derived approach decision-making? from the author’s personal experience) to identify some potential pitfalls and barriers to effective deci- Even though meteorology has developed into a rigor- sion-making along with how to overcome them, there- ous science, the inherent uncertainty in many situa- by optimising the role of humans in weather tions means that a variety of different outcomes can forecasting. usually be envisaged especially in a finely-balanced situation. Therefore a judgement call is usually required. In an ideal world that judgement should Stand Back and Take Stock always be balanced and analytical, based on hard evidence as well as intuition. -
Resilience and the Threat of Natural Disasters in Europe Denis Binder
Resilience and the Threat of Natural Disasters in Europe Denis Binder, Chapman University, United States The European Conference on Sustainability, Energy & the Environment 2018 Official Conference Proceedings iafor The International Academic Forum www.iafor.org Introduction This paper focuses on the existential threat of natural hazards. History and recent experience tell us that the most constant, and predictable, hazard in Europe is that of widespread flooding with storms, often with hurricane force winds, slamming the coastal area and causing flooding inland as well. The modern world is seemingly plagued with the scourges of the Old Testament: earthquakes, floods, tsunamis, volcanoes, hurricanes and cyclones, wildfires, avalanches and landslides. Hundreds of thousands, if not millions, have perished globally in natural hazards, falling victim to extreme forces of nature. None of these perils are new to civilization. Both the Gilgamesh Epic1 and the Old Testament talk of epic floods.2 The Egyptians faced ten plagues. The Minoans, Greeks, Romans, Byzantines, and Ottomans experienced earthquakes, tsunamis, volcanic eruptions, and pestilence. A cyclone destroyed Kublai Khan’s invasion fleet of Japan on August 15, 1281. A massive earthquake in Shaanxi Province, China on January 23, 1556 is estimated to have killed 830,000 persons. A discussion of extreme hazards often involves a common misconception of 100 year floods, 500 year floods, 200 year returns, and similar periods. A mistaken belief is that a “100 year” flood only occurs once a century. The measurement period is a statistical average over an extended period of time. It is not a means of forecasting. It means that on average a storm of that magnitude will occur once in a hundred years, but these storms could be back to back. -
Commodity Asset Management / MAP Accepting New
Ascent Capital Management CTA Report Report Start Date: Jan-2017 - Report End Date: Sep-2020 Commodity Asset Management / MAP Discretionary / Fundamental / Diversified Accepting New Investors: Yes 4.7 Exempt - QEP Investors Only Performance Since January 2017 Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2017 0.23% -1.17% 0.40% -2.11% -2.47% 2.60% 4.03% 7.54% -3.79% 6.14% -5.73% 12.50% 2018 1.28% -2.65% -8.30% 7.12% 8.77% -5.08% -0.02% 0.88% 0.06% -2.17% -0.65% -0.58% 2019 6.24% 5.49% -2.60% -4.93% -2.66% 2.18% 0.71% 3.31% 0.34% 0.76% -1.10% 1.15% 2020 -0.05% 5.43% 0.39% -5.54% -3.59% 2.85% -0.33% 3.09% -2.27% 2017 2018 2019 2020 YTD ROR 18.03% -2.49% 8.62% -0.50% Max DD -5.73% -10.73% -9.86% -8.93% The Notes Below Are An Integral Part of this Report | Track Record Compiled By: KPMG Program Description: Commodity Asset Management ("CAM") is a specialized industrial commodities focused asset manager, founded by alumni of AQR Capital Management and Marc Rich & Co. CAM invests in lesser covered, but still liquid, exchange traded industrial commodities, where it believes it has a distinct fundamental edge. CAM sources its alpha from proprietary relationships across the industrial commodities value chain, as well as alternative data. CAM dampens the volatility inherent in commodities through active hedging and risk management, and has low correlation to traditional indexes. -
Investor Guide
AN INVESTOR’S GUIDE Managed Futures A DIVERSIFYING SOURCE OF RETURNS OPPORTUNITY TO PERFORM IN BULL AND BEAR MARKETS POTENTIAL TO MANAGE DOWNSIDE RISK The AQR Investor Guides are designed to help investors develop a clearer understanding of how certain investment strategies work, and how AQR’s distinctive approach to managing them may help investors achieve their long-term investment objectives. What is Managed Futures? Buy (“Go Long”) Contracts that Equity Indices have been Managed Futures involves trading futures contracts — increasing Fixed Income agreements to buy or sell a particular asset in the future at in price a price set in advance. The assets could be equity indices, Currencies Sell (“Go Short”) fixed income, currencies or commodities, all of which are Contracts that traded on liquid markets around the world. Investors who have been Commodities decreasing pursue Managed Futures generally buy (“go long”) assets in price that have been rising in price and sell (“go short”) assets Source: AQR. Past performance is not indicative of future results. that have been falling in price, betting that these trends will continue. Managed Futures relies on a systematic, This approach, also referred to as trend following, is not rules-based process to identify trends as they new. Hedge funds and Commodity Trading Advisors develop. In doing so, the strategy eliminates (CTAs)1 have been pursuing trends in futures markets human emotion from the decision-making since the 1970s. process of when to buy and sell. 1 A commodity trading advisor (CTA) is an individual or firm who provides individualized advice regarding the buying and selling of futures contracts, options on futures or certain foreign exchange contracts.