Tail Risk Premia and Return Predictability∗
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Capturing Tail Risk in a Risk Budgeting Model
DEGREE PROJECT IN MATHEMATICS, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2020 Capturing Tail Risk in a Risk Budgeting Model FILIP LUNDIN MARKUS WAHLGREN KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF ENGINEERING SCIENCES Capturing Tail Risk in a Risk Budgeting Model FILIP LUNDIN MARKUS WAHLGREN Degree Projects in Financial Mathematics (30 ECTS credits) Master's Programme in Industrial Engineering and Management KTH Royal Institute of Technology year 2020 Supervisor at Nordnet AB: Gustaf Haag Supervisor at KTH: Anja Janssen Examiner at KTH: Anja Janssen TRITA-SCI-GRU 2020:050 MAT-E 2020:016 Royal Institute of Technology School of Engineering Sciences KTH SCI SE-100 44 Stockholm, Sweden URL: www.kth.se/sci Abstract Risk budgeting, in contrast to conventional portfolio management strategies, is all about distributing the risk between holdings in a portfolio. The risk in risk budgeting is traditionally measured in terms of volatility and a Gaussian distribution is commonly utilized for modeling return data. In this thesis, these conventions are challenged by introducing different risk measures, focusing on tail risk, and other probability distributions for modeling returns. Two models for forming risk budgeting portfolios that acknowledge tail risk were chosen. Both these models were based on CVaR as a risk measure, in line with what previous researchers have used. The first model modeled re- turns with their empirical distribution and the second with a Gaussian mixture model. The performance of these models was thereafter evaluated. Here, a diverse set of asset classes, several risk budgets, and risk targets were used to form portfolios. Based on the performance, measured in risk-adjusted returns, it was clear that the models that took tail risk into account in general had su- perior performance in relation to the standard model. -
Control of Equilibrium Phases (M,T,S) in the Modified Aluminum Alloy
Materials Transactions, Vol. 44, No. 1 (2003) pp. 181 to 187 #2003 The Japan Institute of Metals EXPRESS REGULAR ARTICLE Control of Equilibrium Phases (M,T,S) in the Modified Aluminum Alloy 7175 for Thick Forging Applications Seong Taek Lim1;*, Il Sang Eun2 and Soo Woo Nam1 1Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology, 373-1Guseong-dong, Yuseong-gu, Daejeon, 305-701,Korea 2Agency for Defence Development, P.O. Box 35-5, Yuseong-gu, Daejeon, 305-600, Korea Microstructural evolutions, especially for the coarse equilibrium phases, M-, T- and S-phase, are investigated in the modified aluminum alloy 7175 during the primary processing of large ingot for thick forging applications. These phases are evolved depending on the constitutional effect, primarily the change of Zn:Mg ratio, and cooling rate following solutionizing. The formation of the S-phase (Al2CuMg) is effectively inhibited by higher Zn:Mg ratio rather than higher solutionizing temperature. The formation of M-phase (MgZn2) and T-phase (Al2Mg3Zn3)is closely related with both constitution of alloying elements and cooling rate. Slow cooling after homogenization promotes the coarse precipitation of the M- and T-phases, but becomes less effective as the Zn:Mg ratio increases. In any case, the alloy with higher Zn:Mg ratio is basically free of both T and S-phases. The stability of these phases is discussed in terms of ternary and quaternary phase diagrams. In addition, the modified alloy, Al–6Zn–2Mg–1.3%Cu, has greatly reduced quench sensitivity through homogeneous precipitation, which is uniquely applicable in 7175 thick forgings. -
214 CHAPTER 5 [T, D]-DELETION in ENGLISH in English, a Coronal Stop
CHAPTER 5 [t, d]-DELETION IN ENGLISH In English, a coronal stop that appears as last member of a word-final consonant cluster is subject to variable deletion – i.e. a word such as west can be pronounced as either [wEst] or [wEs]. Over the past thirty five years, this phenomenon has been studied in more detail than probably any other variable phonological phenomenon. Final [t, d]-deletion has been studied in dialects as diverse as the following: African American English (AAE) in New York City (Labov et al., 1968), in Detroit (Wolfram, 1969), and in Washington (Fasold, 1972), Standard American English in New York and Philadelphia (Guy, 1980), Chicano English in Los Angeles (Santa Ana, 1991), Tejano English in San Antonio (Bayley, 1995), Jamaican English in Kingston (Patrick, 1991) and Trinidadian English (Kang, 1 1994), etc.TP PT Two aspects that stand out from all these studies are (i) that this process is strongly grammatically conditioned, and (ii) that the grammatical factors that condition this process are the same from dialect to dialect. Because of these two facts [t, d]-deletion is particularly suited to a grammatical analysis. In this chapter I provide an analysis for this phenomenon within the rank-ordering model of EVAL. The factors that influence the likelihood of application of [t, d]-deletion can be classified into three broad categories: the following context (is the [t, d] followed by a consonant, vowel or pause), the preceding context (the phonological features of the consonant preceding the [t, d]), the grammatical status of the [t, d] (is it part of the root or 1 TP PT This phenomenon has also been studied in Dutch – see Schouten (1982, 1984) and Hinskens (1992, 1996). -
Tail of a Linear Diffusion with Markov Switching
The Annals of Applied Probability 2005, Vol. 15, No. 1B, 992–1018 DOI: 10.1214/105051604000000828 c Institute of Mathematical Statistics, 2005 TAIL OF A LINEAR DIFFUSION WITH MARKOV SWITCHING By Benoˆıte de Saporta and Jian-Feng Yao Universit´ede Rennes 1 Let Y be an Ornstein–Uhlenbeck diffusion governed by a sta- tionary and ergodic Markov jump process X: dYt = a(Xt)Yt dt + σ(Xt) dWt, Y0 = y0. Ergodicity conditions for Y have been obtained. Here we investigate the tail propriety of the stationary distribution of this model. A characterization of either heavy or light tail case is established. The method is based on a renewal theorem for systems of equations with distributions on R. 1. Introduction. The discrete-time models Y = (Yn,n ∈ N) governed by a switching process X = (Xn,n ∈ N) fit well to the situations where an autonomous process X is responsible for the dynamic (or regime) of Y . These models are parsimonious with regard to the number of parameters, and extend significantly the case of a single regime. Among them, the so- called Markov-switching ARMA models are popular in several application fields, for example, in econometric modeling [see Hamilton (1989, 1990)]. More recently, continuous-time versions of Markov-switching models have been proposed in Basak, Bisi and Ghosh (1996) and Guyon, Iovleff and Yao (2004), where ergodicity conditions are established. In this paper we investi- gate the tail property of the stationary distribution of this continuous-time process. One of the main results (Theorem 2) states that this model can provide heavy tails, which is one of the major features required in nonlinear time-series modeling. -
Comparative Analyses of Expected Shortfall and Value-At-Risk Under Market Stress1
Comparative analyses of expected shortfall and value-at-risk under market stress1 Yasuhiro Yamai and Toshinao Yoshiba, Bank of Japan Abstract In this paper, we compare value-at-risk (VaR) and expected shortfall under market stress. Assuming that the multivariate extreme value distribution represents asset returns under market stress, we simulate asset returns with this distribution. With these simulated asset returns, we examine whether market stress affects the properties of VaR and expected shortfall. Our findings are as follows. First, VaR and expected shortfall may underestimate the risk of securities with fat-tailed properties and a high potential for large losses. Second, VaR and expected shortfall may both disregard the tail dependence of asset returns. Third, expected shortfall has less of a problem in disregarding the fat tails and the tail dependence than VaR does. 1. Introduction It is a well known fact that value-at-risk2 (VaR) models do not work under market stress. VaR models are usually based on normal asset returns and do not work under extreme price fluctuations. The case in point is the financial market crisis of autumn 1998. Concerning this crisis, CGFS (1999) notes that “a large majority of interviewees admitted that last autumn’s events were in the “tails” of distributions and that VaR models were useless for measuring and monitoring market risk”. Our question is this: Is this a problem of the estimation methods, or of VaR as a risk measure? The estimation methods used for standard VaR models have problems for measuring extreme price movements. They assume that the asset returns follow a normal distribution. -
U.S. EPA, Pesticide Product Label, NEEMAZAL T/S 1.2%EC
Page 1 NEEMAZAL TM T/S-1.2% EC Draft Label February 17, 2000 NEEMAZAL ™ - TIS 1.2% EC INSECTICIDE NEEM·BASED BIOLOGICAL INSECTICIDE, REPELLANT, ANTIFEEDANT AND INSECT GROWTH REGULATOR BOTANICAL PRODUCT FOR CONTROL OF INSECTS ON INDOOR AND OUTDOOR VEGETABLES AND CROPS, ORNAMENTAL FLOWERS, TREES, SHRUBS AND PLANTS ACTIVE INGREDIENT: Azadirachtin .......... 1.2% OTHER INGREDIENTS: .................. 98.8% 100.0% Contains 0.0987 Ib azadirachtin per gallon. (Contains 0.0123 Ib azadirachtin per pint.) KEEP OUT OF REACH OF CHILDREN CAUTION FIRST AID IF ON SKIN: Wash with plenty of soap and water. Get medical attention. IF INHALED: Move person to fresh air. If not breathing, give artificial respiration, preferably mouth-to-mouth. Get medical attention. IF IN EYES: Flush eyes with plenty of water. Call a physician if irritation persists. READ ALL DIRECTIONS BEFORE USING THIS PRODUCT E.I.D. Parry, LTD. CCEPTE Net Contents, ____ Dare House APR 26 2000 Post Box No. 12 EPA Reg. No. 71908- Madras 6000 001 v... •• r....s .. c.... EPA Est. No., ___ '1 •• INDIA '.11__ ........11__1' 5!''', prtt .. ...1 t I' ,_I?~A.!d<..!lt:..J.ju.l::"':::"-'"..4 ........ Page 2 NEEMAZAL ™ T/S-1.2% EC Draft Label February 17, 2000 NEEMAZAL ™ - TIS 1.2% EC INSECTICIDE BOTANICAL PRODUCT FOR CONTROL OF INSECTS ON INDOOR AND OUTDOOR VEGETABLES, ORNAMENTAL FLOWERS, TREES, SHRUBS AND PLANTS. SEE ATTACHMENT FOR DIRECTIONS FOR USE. PRODUCT MODE OF ACTION: NeemAzal T/S 1.2% EC controls target pests on contact or by ingestion. The product acts on pests by way of repellence, antifeedance, and interference with the molting process. -
Proposal for Generation Panel for Latin Script Label Generation Ruleset for the Root Zone
Generation Panel for Latin Script Label Generation Ruleset for the Root Zone Proposal for Generation Panel for Latin Script Label Generation Ruleset for the Root Zone Table of Contents 1. General Information 2 1.1 Use of Latin Script characters in domain names 3 1.2 Target Script for the Proposed Generation Panel 4 1.2.1 Diacritics 5 1.3 Countries with significant user communities using Latin script 6 2. Proposed Initial Composition of the Panel and Relationship with Past Work or Working Groups 7 3. Work Plan 13 3.1 Suggested Timeline with Significant Milestones 13 3.2 Sources for funding travel and logistics 16 3.3 Need for ICANN provided advisors 17 4. References 17 1 Generation Panel for Latin Script Label Generation Ruleset for the Root Zone 1. General Information The Latin script1 or Roman script is a major writing system of the world today, and the most widely used in terms of number of languages and number of speakers, with circa 70% of the world’s readers and writers making use of this script2 (Wikipedia). Historically, it is derived from the Greek alphabet, as is the Cyrillic script. The Greek alphabet is in turn derived from the Phoenician alphabet which dates to the mid-11th century BC and is itself based on older scripts. This explains why Latin, Cyrillic and Greek share some letters, which may become relevant to the ruleset in the form of cross-script variants. The Latin alphabet itself originated in Italy in the 7th Century BC. The original alphabet contained 21 upper case only letters: A, B, C, D, E, F, Z, H, I, K, L, M, N, O, P, Q, R, S, T, V and X. -
When a Stroke Happens
When a stroke happens When a stroke happens What to expect during the first hours, days and weeks after a stroke We’re for life after stroke Introduction Need to talk? Every year, there are about 152,000 strokes "I was at home with Call our confidential Stroke Helpline on in the UK. That’s more than one every five my wife when I 0303 3033 100. minutes. Most people affected are over started to feel very 65, but anyone can have a stroke, including ill and couldn’t move You may also find our other leaflets helpful. children and babies. my arm. She realised I was having a stroke • We are the Stroke Association A stroke is sudden and can be life-changing as the FAST test • What is a stroke? for you and your family. It usually involves helped her identify • How to prevent a stroke staying in hospital, having tests and being on it. She called 999 • Life after stroke medication to help prevent further strokes. and I was rushed to • The road to recovery This leaflet explains what you can expect hospital." to happen when you have had a stroke, We also have lots more useful information. from emergency care to beginning your Darren, stroke survivor To order leaflets and factsheets, or to find out rehabilitation and recovery. more about stroke, please call 0303 3033 100, email [email protected] or visit us at stroke.org.uk. Contents We are a charity. We rely on your support • What is a stroke? – page 4 to change lives. -
Formation May Result in the Denial Or Revocation of Registration
TEMPLATE: DO NOT SEND TO NFA NATIONAL FUTURES ASSOCIATION INDIVIDUAL WITHDRAWAL Instructions for Using the Individual Withdrawal Template READ THESE INSTRUCTIONS CAREFULLY BEFORE COMPLETING OR REVIEWING THE APPLICATION. THE FAILURE TO ANSWER ALL QUESTIONS COMPLETELY AND ACCURATELY OR THE OMISSION OF REQUIRED INFORMATION MAY RESULT IN THE DENIAL OR REVOCATION OF REGISTRATION. THE FAILURE TO DISCLOSE A DISCIPLINARY MATTER EITHER IN AN APPLICATION OR AN UPDATE WILL RESULT IN THE IMPOSITION OF A LATE DISCLOSURE FEE IN ACCORDANCE WITH NFA REGISTRATION RULE 210(c). This document is not an Individual Withdrawal Notice form. Do not send this document to NFA. It is a template that you may use to assist in filing the electronic notice. You may fill out the template online and save and/or print it when you are finished or you can download the template and/or print it and fill it out later. Not every section applies to every individual. Certain sections apply depending on the whether some or all of the individual’s registration categories with the individual’s sponsor are being withdrawn. The text above these sections explains who must complete the section. In the electronic notice, only the applicable sections will appear. Withdrawal Reason and Disciplinary Information Sections These sections concern matters that are required to be disclosed if all of the individual’s registration categories with the sponsor are being withdrawn. The Disciplinary Information section does not need to be completed if the individual’s registration categories are being terminated because the individual is deceased. Only Sponsors that are SEC registered Broker-Dealers may elect to complete the Disciplinary Information-Form U5 section. -
Speech Entitled “Ain't I a Woman?” by Sojourner Truth
Speech Entitled “Ain’t I a Woman?” by Sojourner Truth Delivered at the 1851 Women’s Convention in Akron, Ohio Well, children, where there is so much racket there must be something out of kilter. I think that ‘twixt the Negroes of the South and the women at the North, all talking about rights, the white men will be in a fix pretty soon. But what’s all this here talking about? That man over there says that women need to be helped into carriages, and lifted over ditches, and to have the best place everywhere. Nobody ever helps me into carriages, or over mud-puddles, or gives me any best place! And ain’t I a woman? Look at me! Look at my arm! I have ploughed and planted, and gathered into barns, and no man could head me! And ain’t I a woman? I could work as much and eat as much as a man – when I could get it – and bear the lash as well! And ain’t I a woman? I have borne thirteen children, and seen most all sold off to slavery, and when I cried out with my mother’s grief, none but Jesus heard me! And ain’t I a woman? Then they talk about this thing in the head; what’s this they call it? [member of audience whispers, “intellect”] That’s it, honey. What’s that got to do with women’s rights or Negroes’ rights? If my cup won’t hold but a pint, and yours holds a quart, wouldn’t you be mean not to let me have my little half measure full? Then that little man in black there, he says women can’t have as much rights as men, ‘cause Christ wasn’t a woman! Where did your Christ Sojourner Truth “Ain’t I Woman?”, Speech Delivered at Ohio Women’s Rights Convention, May 1851 come from? Where did your Christ come from? From God and a woman! Man had nothing to do with Him. -
Get with the Guidelines®-Stroke Is the American Heart Association's
Get With The Guidelines®-Stroke is the American Heart Association’s collaborative performance improvement program, demonstrated to improve adherence to evidence-based care of patients hospitalized with stroke. The program provides hospitals with a Web-based Patient Management Tool™ (powered by QuintilesIMS), decision support, a robust registry, real-time benchmarking capabilities and other performance improvement methodologies toward the goal of enhancing patient outcomes and saving lives. This fact sheet provides an overview of the achievement, quality, descriptive, and reporting measures currently reported on via Get With The Guidelines-Stroke. Get With The Guidelines-Stroke is for patients with stroke and transient ischemic attack (TIA). The following is a list of the common stroke-related diagnoses included in Get With The Guidelines-Stroke: ICD-10: I60*; I61*; I63*; G45.0, G45.1, G45.8, G45.9 STROKE ACHIEVEMENT MEASURES ACUTE: • IV rt-PA arrive by 2 hour, treat by 3 hour: Percent of acute ischemic stroke patients who arrive at the hospital within 120 minutes (2 hours) of time last known well and for whom IV t-PA was initiated at this hospital within 180 minutes (3 hours) of time last known well. Corresponding measure available for inpatient stroke cases • Early antithrombotics: Percent of patients with ischemic stroke or TIA who receive antithrombotic therapy by the end of hospital day two. Corresponding measures available for observation status only & inpatient stroke cases • VTE prophylaxis: Percent of patients with ischemic stroke, hemorrhagic stroke, or stroke not otherwise specified who receive VTE prophylaxis the day of or the day after hospital admission. AT OR BY DISCHARGE: • Antithrombotics: Percent of patients with an ischemic stroke or TIA prescribed antithrombotic therapy at discharge. -
Modeling Financial Sector Joint Tail Risk in the Euro Area
Modeling financial sector joint tail risk in the euro area∗ Andr´eLucas,(a) Bernd Schwaab,(b) Xin Zhang(c) (a) VU University Amsterdam and Tinbergen Institute (b) European Central Bank, Financial Research Division (c) Sveriges Riksbank, Research Division First version: May 2013 This version: October 2014 ∗Author information: Andr´eLucas, VU University Amsterdam, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands, Email: [email protected]. Bernd Schwaab, European Central Bank, Kaiserstrasse 29, 60311 Frankfurt, Germany, Email: [email protected]. Xin Zhang, Research Division, Sveriges Riksbank, SE 103 37 Stockholm, Sweden, Email: [email protected]. We thank conference participants at the Banque de France & SoFiE conference on \Systemic risk and financial regulation", the Cleveland Fed & Office for Financial Research conference on \Financial stability analysis", the European Central Bank, the FEBS 2013 conference on \Financial regulation and systemic risk", LMU Munich, the 2014 SoFiE conference in Cambridge, the 2014 workshop on \The mathematics and economics of systemic risk" at UBC Vancouver, and the Tinbergen Institute Amsterdam. Andr´eLucas thanks the Dutch Science Foundation (NWO, grant VICI453-09-005) and the European Union Seventh Framework Programme (FP7-SSH/2007- 2013, grant agreement 320270 - SYRTO) for financial support. The views expressed in this paper are those of the authors and they do not necessarily reflect the views or policies of the European Central Bank or the Sveriges Riksbank. Modeling financial sector joint tail risk in the euro area Abstract We develop a novel high-dimensional non-Gaussian modeling framework to infer con- ditional and joint risk measures for many financial sector firms.