Pivot Points for CQG - Overview

Size: px
Start display at page:

Download "Pivot Points for CQG - Overview"

Transcription

1 Pvot Ponts for CQG - Overvew By Bran Bell Introducton Pvot ponts are a well-known technque used by floor traders to calculate ntraday support and resstance levels. Ths technque has been around for decades, yet s stll n use today. Pvot Ponts for CQG (PP) allows CQG for Wndows users to dsplay the support and resstance levels used by floor traders, hghlghtng crtcal areas for the day s tradng before the sesson even opens. The pvot ponts technque works well on hghly lqud nstruments that have a large daly range. The stock ndex futures are probably the best, but ths technque can also be used on foregn currency futures and even on equtes. Precous metals are another canddate. Concept Usng a few smple formulas, ntraday support and resstance levels can be calculated before the day s tradng begns. The most mportant level s the daly pvot, or pvot pont (PP). [Note that the pvot pont s not related to the swng pvot, whch s a hgh bar or low bar.] There are four other support and resstance levels that are calculated, usng the daly pvot as a startng pont. There are two support levels, desgnated S1and S2, and two resstance levels, R1 and R2. There are three major varatons on how to calculate the pvot pont levels. The formulas for the tradtonal method are: PP = ( H + L + C) / 3 S1 = (2* PP) H R1 = (2* PP) L S2 = PP ( H L) R2 = PP + ( H L) The hgh, low, and close values used are yesterday s values. The frst varaton can be used to compensate for overnght tradng and openng gaps. It weghts the PP level wth today s openng prce. The PP formula for the frst varaton s: PP = H + L + C + O ) / 4. ( today All of the other formulas are the same as n the tradtonal method. The second varaton also compensates for overnght tradng and openng gaps. It does ths by substtutng today s open for yesterday s close. The PP formula now becomes: PP = H + L + O ) / 3. ( today In my research, I have found that I prefer the frst varaton, but you should experment and see what works best n the markets that you trade. Fgure 1 Pvot Ponts for CQG. Pvot Ponts for CQG allows you to select whch calculaton method you wsh to use. You can also use dfferent methods on dfferent nstruments, f you wsh. Usng Pvot Ponts for CQG There are two basc technques for daytradng usng the daly pvot pont and the assocated support and resstance levels that are descrbed n the references. A search of the Internet wll yeld a lot of good nformaton on how to trade pvot ponts, and there have been at least three artcles n Techncal Analyss of Stocks & Commodtes over the last few years.

2 I have used these levels for longer-term (several days) trend detecton and have been pleased wth the results. My deas for dong ths are based on J. Gopalakrshnan s recent artcle n the aforementoned magazne. [1]. Daytradng wth Pvot Ponts for CQG Varaton 1 There are two basc technques for daytradng wth Pvot Ponts for CQG. The frst s best used by daytraders usng very short-term charts (1-5 mnutes), and has been descrbed n [1] and [2]. In ths technque, the man dea s to get long above the daly pvot pont and get short below t. More precsely, though, enter long when the pvot s volated n a bull move and enter short when the pvot s volated n a bear move. Use other technques to flter these sgnals. The use of a smple tool lke a smple movng average oscllator to flter for bullsh and bearsh market moves can be very effectve. After enterng, set a stop-loss just below the daly pvot. When the market moves n your drecton, aggressvely move your stop up to breakeven, then use a tralng stop. As wth most technques, t s essental to lmt losses when usng ths technque. When long, R1 s your frst proft objectve. When the market reaches ths level, you have a Fgure 2 Enter long on a bull move volaton of the daly pvot. You can take profts at the resstance levels or set a sell-stop order just below t n an attempt to let your profts run. choce. You can ether take profts at ths level, or you can pull your stop up to just below ths level. If there were a lot of strength n the market, you would obvously want to choose the second alternatve. When a market volates resstance, that level generally becomes support. If the market exceeds R1 and you ddn t take your profts at that level, you can now place your stop just below R1, snce we now expect R1 to become support. You could also smply keep movng your tralng stop untl t gets flled. If you reman n the trade and the market has contnued upward, R2 s your second proft objectve. When the market reaches ths level, you have the same choce as before ether take your profts or pull your stop up to just below R2. Fgure 2 llustrates an example of ths type of trade. In ths case the market found strong resstance at R1 and faled to move hgher. If you had taken ths trade and selected to move your stop up to just below R1 nstead of takng profts, you stll would have made a nce lttle proft. The chart shown here s a 2-mnute bar chart of the S&P futures. The use of hgher-resoluton bar charts can lead to better entres and exts, but t can also lead to more whpsaws (dependng on your entry and ext technques). My research ndcates that ths technque can be effectve when used wth charts that range anywhere from 1 to 5 mnute bars. Personally, I feel that ths technque s probably better used on the shorterterm charts 1, 2, and possbly 3-mnute charts. The frst volaton of the day s consdered the most mportant. Each succeedng volaton s more and more ndcatve of a market that s wanderng n the area of the daly pvot, and ths s not the rght type of market to trade wth ths technque. Fgure 3 shows another example of how helpful the pvot ponts levels can be. Ths 5-mnute chart s the December 2000 S&P futures on September 11, At 0915 (Chcago tme), the market shot up through the daly pvot level (PP). If you were usng ths technque you would have gotten long on ths bar, wth your ntal stop just below PP. Custom Tradng Solutons Pvot Ponts for CQG User Manual 2

3 Fgure 3 Daytradng wth Pvot Ponts for CQG. In the very next bar you got a chance to take some quck profts. You could ether take the profts, or move your stop up to just below R1. Whenever you have a trade where there s more than one logcal proft objectve, t can be a good strategy to take a quck proft on part of the poston, whle keepng the other part of the poston n case the second objectve s reached. [3] Just a few bars later, n the 0940 bar, the market breached R2. Assumng you kept part or all of the poston after R1 was volated, you could ether lqudate the poston mmedately when R2 s volated, or you could move the stop up to just below R2. In ether case, you re out wth a nce proft of about 10 S&P ponts before lunch! The market turned around after ths, movng down steadly untl 1315, when t broke convncngly, fndng support at PP for about 15 mnutes. Then t broke through PP n a convncng fashon at If you were nclned to trade ths second volaton, you could have entered short at ths pont, agan lqudatng part of the poston at S1 and the other part at S2, nearly equalng your proft of the mornng. Now of course all days aren t lke ths tradng just sn t that easy! I selected ths example for educatonal purposes, but t does show the potental n usng these support and resstance levels for daytradng. In hs recent artcle, J. Gopalakrshnan descrbes how he flters days based on the trend to determne whether he wants to trade long or short that day. Pvot Ponts for CQG ncludes condtons that allow the user to perform the same flterng. The technque he descrbes s ths. Calculate the 3-day average (the daly average, n hs parlance) and the 5-day average (the weekly average) of the daly pvot levels (PP). If today s PP s greater than both of the averages, then the short-term trend s up and he wll trade long only. On the other hand, f today s PP s less than both averages, he wll trade short only. Fgure 4 shows the CTS_PPUpDouble (green) and CTS_PPDownDouble (red) condtons used to color bars on a daly chart. These condtons combne the 3-day and 5-day averages used by Mr. Gopalakrshnan. These condtons have parameters that allow you to change the movng average perods and the pvot ponts calculaton method. Fgure 4 CTS_PPUpDouble and CTS_PPDownDouble condtons. Custom Tradng Solutons Pvot Ponts for CQG User Manual 3

4 Fgure 5 CTS_PPUp and CTS_PPDown condtons appled to 5-mnute chart. Fgure 6 A good example of how R1 and S1 can be used to fade the market. As shown n Fgure 5, these condtons can also be appled to ntraday charts. The calculatons are performed on daly bars, so each ntraday bar wthn a day wll be colored the same. Pvot Ponts for CQG also ncludes condtons that test for the PP level to be above or below a sngle movng average. Daytradng wth Pvot Ponts for CQG Varaton 2 Ths technque s based on the theory that, n absence of any outsde news or other nfluence, the market s controlled by the locals, and that ther zone of control s between S1 and R1. Thus f the day s tradng s lstless and there sn t much actvty, S1 and R1 can be used as entry ponts to fade the market. The theory addtonally states that f the market convncngly volates ether S1 or R1, ths should brng n actvty from off the floor and there s then a short-term ntraday trend n affect, n the drecton of the volaton. If prces should contnue n the same drecton and volate S2 or R2, ths should brng n more off-floor actvty, pqung the nterest of longerterm traders and sgnalng the begnnng of a longer-term trend (longer-term n ths case meanng longer than a sngle day). Fgure 6 shows a good example of how these trades can be made. Assume that there s no sgnfcant news and volume s relatvely lght. When the market fnds resstance at R1, enter a short trade, wth a stop just above R2 or a recent hgh. Use a tralng stop as the market moves down n your favor. Take profts and reverse the poston when the market fnds support at S1, wth a stop just below S2 or a recent low. Wth a few enhancements, ths technque s the bass of Wlder s Reacton Trend System, whch I wll descrbe next. Summary Pvot Ponts for CQG allows CQG users to see the support and resstance levels that have been used by floor traders for decades. Daytraders can actvely use these levels n ther tradng. Even poston traders can derve beneft from these levels by trackng the movement of the daly pvot n relaton to ts movng average. Custom Tradng Solutons Pvot Ponts for CQG User Manual 4

5 Common Parameters Pvot Ponts for CQG Reference The followng parameters are common to all Pvot Ponts for CQG studes and condtons: PPType: The method used n calculatng the daly pvot: HLC The tradtonal method s used. The daly pvot s PP ( H + L C ) / 1 3. = HLCO The frst varaton s used. The daly pvot s PP H + L + C + O ) / 4 = ( HLO The second varaton s used. The daly pvot s PP H + L + O ) / 3 = ( 1 1. ContType: Due to the mxng of tme frames, the contnuaton type of the chart must be specfed. Ths parameter s used as follows: None No contnuaton. Use ths opton on all non-contnuaton charts. Standard Standard contnuaton. Use ths opton on all standard-contnuaton charts:,dc, 5C,,30C, etc. Actve Actve contnuaton. Use ths opton on all actve-contnuaton charts:,adc, A5C,,A30C, etc. Study: CTS_PP The Studes Summary: Dsplays the Pvot Ponts for CQG study. Abbrevaton: CTS_PP Number of curves: 5 CTS_DP: The daly pvot (DP). CTS_R1: The frst resstance level. CTS_S1: The frst support level. CTS_R2: The second resstance level. CTS_S2: The second support level. Number of parameters: 2 ContType: The contnuaton type of the chart. See Common Parameters. The calculaton of the daly pvot and the support and resstance levels depends on daly data. Unfortunately, t s not possble for the study to know whether t has been appled to a contnuaton chart or not. Ths s the reason for the ContType parameter. For most users ths wll not be a problem, snce most do not mx contnuaton and non-contnuaton charts. For those users who do, however, I recommend settng up personal pages that are dedcated to non-contnuaton, standard contnuaton, and actve contnuaton charts. Then you can place the Pvot Ponts study on the chart, set the ContType parameter to the approprate value, and save the page. Then whenever you return to the page, the study wll be setup properly. Custom Tradng Solutons Pvot Ponts for CQG User Manual 5

6 Condton: CTS_PPDown The Condtons Summary: True when the daly pvot (PP) s less than ts movng average. Number of parameters: 3 ContType: The contnuaton type of the chart. See Common Parameters. Perod: The perod of the movng average. Ths condton s true when the daly pvot (PP) s less than ts movng average, ndcatng a short-term downtrend s n affect. Condton: CTS_PPDownDouble Summary: True when the daly pvot (PP) s less than both of two movng averages. Number of parameters: 4 ContType: The contnuaton type of the chart. See Common Parameters. Perod1: The perod of the frst movng average. Perod2: The perod of the second movng average. Ths condton s true when the daly pvot (PP) s less than both of two movng averages, ndcatng a short-term downtrend s n affect. Use ths condton to replcate the strategy descrbed by J. Gopalakrshnan [1]. By settng Perod1 = 3 and Perod2 = 5, ths condton wll be true on days when short trades are allowable. Condton: CTS_PPUp Summary: True when the daly pvot (PP) s greater than ts movng average. Number of parameters: 3 ContType: The contnuaton type of the chart. See Common Parameters. Perod: The perod of the movng average. Ths condton s true when the daly pvot (PP) s greater than ts movng average, ndcatng a shortterm uptrend s n affect. Condton: CTS_PPUpDouble Summary: True when the daly pvot (PP) s greater than both of two movng averages. Number of parameters: 4 ContType: The contnuaton type of the chart. See Common Parameters. Perod1: The perod of the frst movng average. Perod2: The perod of the second movng average. Custom Tradng Solutons Pvot Ponts for CQG User Manual 6

7 Ths condton s true when the daly pvot (PP) s greater than both of two movng averages, ndcatng a short-term uptrend s n affect. Use ths condton to replcate the strategy descrbed by J. Gopalakrshnan [1]. By settng Perod1 = 3 and Perod2 = 5, ths condton wll be true on days when long trades are allowable. 1 Gopalakrshnan, Jayanth. Pvot Ponts, Techncal Analyss of Stocks & Commodtes, Vol. 18, No. 2, February 2000, pp Greenspan, Wllam I. The Pvot Pont for Tradng, Techncal Analyss of Stocks & Commodtes, Vol. 12, No. 8, pp Eng, Wllam F. Tradng Rules Strateges for Success. Dearborn Fnancal Publshng, Inc., Custom Tradng Solutons Pvot Ponts for CQG User Manual 7

Tests for Two Correlations

Tests for Two Correlations PASS Sample Sze Software Chapter 805 Tests for Two Correlatons Introducton The correlaton coeffcent (or correlaton), ρ, s a popular parameter for descrbng the strength of the assocaton between two varables.

More information

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1 Survey of Math: Chapter 22: Consumer Fnance Borrowng Page 1 APR and EAR Borrowng s savng looked at from a dfferent perspectve. The dea of smple nterest and compound nterest stll apply. A new term s the

More information

Elements of Economic Analysis II Lecture VI: Industry Supply

Elements of Economic Analysis II Lecture VI: Industry Supply Elements of Economc Analyss II Lecture VI: Industry Supply Ka Hao Yang 10/12/2017 In the prevous lecture, we analyzed the frm s supply decson usng a set of smple graphcal analyses. In fact, the dscusson

More information

Finance 402: Problem Set 1 Solutions

Finance 402: Problem Set 1 Solutions Fnance 402: Problem Set 1 Solutons Note: Where approprate, the fnal answer for each problem s gven n bold talcs for those not nterested n the dscusson of the soluton. 1. The annual coupon rate s 6%. A

More information

2) In the medium-run/long-run, a decrease in the budget deficit will produce:

2) In the medium-run/long-run, a decrease in the budget deficit will produce: 4.02 Quz 2 Solutons Fall 2004 Multple-Choce Questons ) Consder the wage-settng and prce-settng equatons we studed n class. Suppose the markup, µ, equals 0.25, and F(u,z) = -u. What s the natural rate of

More information

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019 5-45/65: Desgn & Analyss of Algorthms January, 09 Lecture #3: Amortzed Analyss last changed: January 8, 09 Introducton In ths lecture we dscuss a useful form of analyss, called amortzed analyss, for problems

More information

Price and Quantity Competition Revisited. Abstract

Price and Quantity Competition Revisited. Abstract rce and uantty Competton Revsted X. Henry Wang Unversty of Mssour - Columba Abstract By enlargng the parameter space orgnally consdered by Sngh and Vves (984 to allow for a wder range of cost asymmetry,

More information

Clearing Notice SIX x-clear Ltd

Clearing Notice SIX x-clear Ltd Clearng Notce SIX x-clear Ltd 1.0 Overvew Changes to margn and default fund model arrangements SIX x-clear ( x-clear ) s closely montorng the CCP envronment n Europe as well as the needs of ts Members.

More information

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999 FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS by Rchard M. Levch New York Unversty Stern School of Busness Revsed, February 1999 1 SETTING UP THE PROBLEM The bond s beng sold to Swss nvestors for a prce

More information

Money, Banking, and Financial Markets (Econ 353) Midterm Examination I June 27, Name Univ. Id #

Money, Banking, and Financial Markets (Econ 353) Midterm Examination I June 27, Name Univ. Id # Money, Bankng, and Fnancal Markets (Econ 353) Mdterm Examnaton I June 27, 2005 Name Unv. Id # Note: Each multple-choce queston s worth 4 ponts. Problems 20, 21, and 22 carry 10, 8, and 10 ponts, respectvely.

More information

SIMPLE FIXED-POINT ITERATION

SIMPLE FIXED-POINT ITERATION SIMPLE FIXED-POINT ITERATION The fed-pont teraton method s an open root fndng method. The method starts wth the equaton f ( The equaton s then rearranged so that one s one the left hand sde of the equaton

More information

Chapter 5 Bonds, Bond Prices and the Determination of Interest Rates

Chapter 5 Bonds, Bond Prices and the Determination of Interest Rates Chapter 5 Bonds, Bond Prces and the Determnaton of Interest Rates Problems and Solutons 1. Consder a U.S. Treasury Bll wth 270 days to maturty. If the annual yeld s 3.8 percent, what s the prce? $100 P

More information

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8 Department of Economcs Prof. Gustavo Indart Unversty of Toronto November 9, 2006 SOLUTION ECO 209Y MACROECONOMIC THEORY Term Test #1 A LAST NAME FIRST NAME STUDENT NUMBER Crcle your secton of the course:

More information

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8 Department of Economcs Prof. Gustavo Indart Unversty of Toronto November 9, 2006 SOLUTION ECO 209Y MACROECONOMIC THEORY Term Test #1 C LAST NAME FIRST NAME STUDENT NUMBER Crcle your secton of the course:

More information

Evaluating Performance

Evaluating Performance 5 Chapter Evaluatng Performance In Ths Chapter Dollar-Weghted Rate of Return Tme-Weghted Rate of Return Income Rate of Return Prncpal Rate of Return Daly Returns MPT Statstcs 5- Measurng Rates of Return

More information

Financial mathematics

Financial mathematics Fnancal mathematcs Jean-Luc Bouchot jean-luc.bouchot@drexel.edu February 19, 2013 Warnng Ths s a work n progress. I can not ensure t to be mstake free at the moment. It s also lackng some nformaton. But

More information

Facility Location Problem. Learning objectives. Antti Salonen Farzaneh Ahmadzadeh

Facility Location Problem. Learning objectives. Antti Salonen Farzaneh Ahmadzadeh Antt Salonen Farzaneh Ahmadzadeh 1 Faclty Locaton Problem The study of faclty locaton problems, also known as locaton analyss, s a branch of operatons research concerned wth the optmal placement of facltes

More information

MULTIPLE CURVE CONSTRUCTION

MULTIPLE CURVE CONSTRUCTION MULTIPLE CURVE CONSTRUCTION RICHARD WHITE 1. Introducton In the post-credt-crunch world, swaps are generally collateralzed under a ISDA Master Agreement Andersen and Pterbarg p266, wth collateral rates

More information

YORK UNIVERSITY Faculty of Science Department of Mathematics and Statistics MATH A Test #2 November 03, 2014

YORK UNIVERSITY Faculty of Science Department of Mathematics and Statistics MATH A Test #2 November 03, 2014 Famly Name prnt): YORK UNIVERSITY Faculty of Scence Department of Mathematcs and Statstcs MATH 2280.00 A Test #2 November 0, 2014 Solutons Gven Name: Student No: Sgnature: INSTRUCTIONS: 1. Please wrte

More information

iii) pay F P 0,T = S 0 e δt when stock has dividend yield δ.

iii) pay F P 0,T = S 0 e δt when stock has dividend yield δ. Fnal s Wed May 7, 12:50-2:50 You are allowed 15 sheets of notes and a calculator The fnal s cumulatve, so you should know everythng on the frst 4 revews Ths materal not on those revews 184) Suppose S t

More information

Survey of Math Test #3 Practice Questions Page 1 of 5

Survey of Math Test #3 Practice Questions Page 1 of 5 Test #3 Practce Questons Page 1 of 5 You wll be able to use a calculator, and wll have to use one to answer some questons. Informaton Provded on Test: Smple Interest: Compound Interest: Deprecaton: A =

More information

Finite Math - Fall Section Future Value of an Annuity; Sinking Funds

Finite Math - Fall Section Future Value of an Annuity; Sinking Funds Fnte Math - Fall 2016 Lecture Notes - 9/19/2016 Secton 3.3 - Future Value of an Annuty; Snkng Funds Snkng Funds. We can turn the annutes pcture around and ask how much we would need to depost nto an account

More information

A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME

A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME Vesna Radonć Đogatovć, Valentna Radočć Unversty of Belgrade Faculty of Transport and Traffc Engneerng Belgrade, Serba

More information

Creating a zero coupon curve by bootstrapping with cubic splines.

Creating a zero coupon curve by bootstrapping with cubic splines. MMA 708 Analytcal Fnance II Creatng a zero coupon curve by bootstrappng wth cubc splnes. erg Gryshkevych Professor: Jan R. M. Röman 0.2.200 Dvson of Appled Mathematcs chool of Educaton, Culture and Communcaton

More information

Highlights of the Macroprudential Report for June 2018

Highlights of the Macroprudential Report for June 2018 Hghlghts of the Macroprudental Report for June 2018 October 2018 FINANCIAL STABILITY DEPARTMENT Preface Bank of Jamaca frequently conducts assessments of the reslence and strength of the fnancal system.

More information

Mathematical Thinking Exam 1 09 October 2017

Mathematical Thinking Exam 1 09 October 2017 Mathematcal Thnkng Exam 1 09 October 2017 Name: Instructons: Be sure to read each problem s drectons. Wrte clearly durng the exam and fully erase or mark out anythng you do not want graded. You may use

More information

Mutual Funds and Management Styles. Active Portfolio Management

Mutual Funds and Management Styles. Active Portfolio Management utual Funds and anagement Styles ctve Portfolo anagement ctve Portfolo anagement What s actve portfolo management? How can we measure the contrbuton of actve portfolo management? We start out wth the CP

More information

Applications of Myerson s Lemma

Applications of Myerson s Lemma Applcatons of Myerson s Lemma Professor Greenwald 28-2-7 We apply Myerson s lemma to solve the sngle-good aucton, and the generalzaton n whch there are k dentcal copes of the good. Our objectve s welfare

More information

REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY

REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY 1 Table of Contents INTRODUCTION 3 TR Prvate Equty Buyout Index 3 INDEX COMPOSITION 3 Sector Portfolos 4 Sector Weghtng 5 Index Rebalance 5 Index

More information

Tests for Two Ordered Categorical Variables

Tests for Two Ordered Categorical Variables Chapter 253 Tests for Two Ordered Categorcal Varables Introducton Ths module computes power and sample sze for tests of ordered categorcal data such as Lkert scale data. Assumng proportonal odds, such

More information

/ Computational Genomics. Normalization

/ Computational Genomics. Normalization 0-80 /02-70 Computatonal Genomcs Normalzaton Gene Expresson Analyss Model Computatonal nformaton fuson Bologcal regulatory networks Pattern Recognton Data Analyss clusterng, classfcaton normalzaton, mss.

More information

Elton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 9

Elton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 9 Elton, Gruber, Brown, and Goetzmann Modern Portfolo Theory and Investment Analyss, 7th Edton Solutons to Text Problems: Chapter 9 Chapter 9: Problem In the table below, gven that the rskless rate equals

More information

Lecture Note 2 Time Value of Money

Lecture Note 2 Time Value of Money Seg250 Management Prncples for Engneerng Managers Lecture ote 2 Tme Value of Money Department of Systems Engneerng and Engneerng Management The Chnese Unversty of Hong Kong Interest: The Cost of Money

More information

Physics 4A. Error Analysis or Experimental Uncertainty. Error

Physics 4A. Error Analysis or Experimental Uncertainty. Error Physcs 4A Error Analyss or Expermental Uncertanty Slde Slde 2 Slde 3 Slde 4 Slde 5 Slde 6 Slde 7 Slde 8 Slde 9 Slde 0 Slde Slde 2 Slde 3 Slde 4 Slde 5 Slde 6 Slde 7 Slde 8 Slde 9 Slde 20 Slde 2 Error n

More information

Chapter 10 Making Choices: The Method, MARR, and Multiple Attributes

Chapter 10 Making Choices: The Method, MARR, and Multiple Attributes Chapter 0 Makng Choces: The Method, MARR, and Multple Attrbutes INEN 303 Sergy Butenko Industral & Systems Engneerng Texas A&M Unversty Comparng Mutually Exclusve Alternatves by Dfferent Evaluaton Methods

More information

Concepts: simple interest, compound interest, annual percentage yield, compounding continuously, mortgages

Concepts: simple interest, compound interest, annual percentage yield, compounding continuously, mortgages Precalculus: Matheatcs of Fnance Concepts: sple nterest, copound nterest, annual percentage yeld, copoundng contnuously, ortgages Note: These topcs are all dscussed n the text, but I a usng slghtly dfferent

More information

ISE High Income Index Methodology

ISE High Income Index Methodology ISE Hgh Income Index Methodology Index Descrpton The ISE Hgh Income Index s desgned to track the returns and ncome of the top 30 U.S lsted Closed-End Funds. Index Calculaton The ISE Hgh Income Index s

More information

Construction Rules for Morningstar Canada Dividend Target 30 Index TM

Construction Rules for Morningstar Canada Dividend Target 30 Index TM Constructon Rules for Mornngstar Canada Dvdend Target 0 Index TM Mornngstar Methodology Paper January 2012 2011 Mornngstar, Inc. All rghts reserved. The nformaton n ths document s the property of Mornngstar,

More information

EXAMINATIONS OF THE HONG KONG STATISTICAL SOCIETY

EXAMINATIONS OF THE HONG KONG STATISTICAL SOCIETY EXAMINATIONS OF THE HONG KONG STATISTICAL SOCIETY HIGHER CERTIFICATE IN STATISTICS, 2013 MODULE 7 : Tme seres and ndex numbers Tme allowed: One and a half hours Canddates should answer THREE questons.

More information

Spatial Variations in Covariates on Marriage and Marital Fertility: Geographically Weighted Regression Analyses in Japan

Spatial Variations in Covariates on Marriage and Marital Fertility: Geographically Weighted Regression Analyses in Japan Spatal Varatons n Covarates on Marrage and Martal Fertlty: Geographcally Weghted Regresson Analyses n Japan Kenj Kamata (Natonal Insttute of Populaton and Socal Securty Research) Abstract (134) To understand

More information

Solution of periodic review inventory model with general constrains

Solution of periodic review inventory model with general constrains Soluton of perodc revew nventory model wth general constrans Soluton of perodc revew nventory model wth general constrans Prof Dr J Benkő SZIU Gödöllő Summary Reasons for presence of nventory (stock of

More information

Understanding Annuities. Some Algebraic Terminology.

Understanding Annuities. Some Algebraic Terminology. Understandng Annutes Ma 162 Sprng 2010 Ma 162 Sprng 2010 March 22, 2010 Some Algebrac Termnology We recall some terms and calculatons from elementary algebra A fnte sequence of numbers s a functon of natural

More information

c slope = -(1+i)/(1+π 2 ) MRS (between consumption in consecutive time periods) price ratio (across consecutive time periods)

c slope = -(1+i)/(1+π 2 ) MRS (between consumption in consecutive time periods) price ratio (across consecutive time periods) CONSUMPTION-SAVINGS FRAMEWORK (CONTINUED) SEPTEMBER 24, 2013 The Graphcs of the Consumpton-Savngs Model CONSUMER OPTIMIZATION Consumer s decson problem: maxmze lfetme utlty subject to lfetme budget constrant

More information

STUDY GUIDE FOR TOPIC 1: FUNDAMENTAL CONCEPTS OF FINANCIAL MATHEMATICS. Learning objectives

STUDY GUIDE FOR TOPIC 1: FUNDAMENTAL CONCEPTS OF FINANCIAL MATHEMATICS. Learning objectives Study Gude for Topc 1 1 STUDY GUIDE FOR TOPIC 1: FUNDAMENTAL CONCEPTS OF FINANCIAL MATHEMATICS Learnng objectves After studyng ths topc you should be able to: apprecate the ever-changng envronment n whch

More information

Improvement and Test of Stock Index Futures Trading Model Based on Bollinger Bands

Improvement and Test of Stock Index Futures Trading Model Based on Bollinger Bands Internatonal Journal of Economcs and Fnance; Vol. 9, o. 1; 2017 ISS 1916-971X E-ISS 1916-9728 Publshed by Canadan Center of Scence and Educaton Improvement and Test of Stock Index Futures Tradng Model

More information

Macroeconomic Theory and Policy

Macroeconomic Theory and Policy ECO 209 Macroeconomc Theory and Polcy Lecture 7: The Open Economy wth Fxed Exchange Rates Gustavo Indart Slde 1 Open Economy under Fxed Exchange Rates Let s consder an open economy wth no captal moblty

More information

OPERATIONS RESEARCH. Game Theory

OPERATIONS RESEARCH. Game Theory OPERATIONS RESEARCH Chapter 2 Game Theory Prof. Bbhas C. Gr Department of Mathematcs Jadavpur Unversty Kolkata, Inda Emal: bcgr.umath@gmal.com 1.0 Introducton Game theory was developed for decson makng

More information

EDC Introduction

EDC Introduction .0 Introducton EDC3 In the last set of notes (EDC), we saw how to use penalty factors n solvng the EDC problem wth losses. In ths set of notes, we want to address two closely related ssues. What are, exactly,

More information

OCR Statistics 1 Working with data. Section 2: Measures of location

OCR Statistics 1 Working with data. Section 2: Measures of location OCR Statstcs 1 Workng wth data Secton 2: Measures of locaton Notes and Examples These notes have sub-sectons on: The medan Estmatng the medan from grouped data The mean Estmatng the mean from grouped data

More information

Note on Cubic Spline Valuation Methodology

Note on Cubic Spline Valuation Methodology Note on Cubc Splne Valuaton Methodology Regd. Offce: The Internatonal, 2 nd Floor THE CUBIC SPLINE METHODOLOGY A model for yeld curve takes traded yelds for avalable tenors as nput and generates the curve

More information

The Effects of Industrial Structure Change on Economic Growth in China Based on LMDI Decomposition Approach

The Effects of Industrial Structure Change on Economic Growth in China Based on LMDI Decomposition Approach 216 Internatonal Conference on Mathematcal, Computatonal and Statstcal Scences and Engneerng (MCSSE 216) ISBN: 978-1-6595-96- he Effects of Industral Structure Change on Economc Growth n Chna Based on

More information

Linear Combinations of Random Variables and Sampling (100 points)

Linear Combinations of Random Variables and Sampling (100 points) Economcs 30330: Statstcs for Economcs Problem Set 6 Unversty of Notre Dame Instructor: Julo Garín Sprng 2012 Lnear Combnatons of Random Varables and Samplng 100 ponts 1. Four-part problem. Go get some

More information

Economics 330 Money and Banking Problem Set No. 3 Due Tuesday April 3, 2018 at the beginning of class

Economics 330 Money and Banking Problem Set No. 3 Due Tuesday April 3, 2018 at the beginning of class Economcs 0 Money and Bankng Problem Set No. Due Tuesday Aprl, 08 at the begnnng of class Fall 08 Dr. Ner I. A. The followng table shows the prce of $000 face value -year, -year, -year, 9-year and 0- year

More information

TCOM501 Networking: Theory & Fundamentals Final Examination Professor Yannis A. Korilis April 26, 2002

TCOM501 Networking: Theory & Fundamentals Final Examination Professor Yannis A. Korilis April 26, 2002 TO5 Networng: Theory & undamentals nal xamnaton Professor Yanns. orls prl, Problem [ ponts]: onsder a rng networ wth nodes,,,. In ths networ, a customer that completes servce at node exts the networ wth

More information

Construction Rules for Morningstar Canada Momentum Index SM

Construction Rules for Morningstar Canada Momentum Index SM Constructon Rules for Mornngstar Canada Momentum Index SM Mornngstar Methodology Paper January 2012 2012 Mornngstar, Inc. All rghts reserved. The nformaton n ths document s the property of Mornngstar,

More information

Final Examination MATH NOTE TO PRINTER

Final Examination MATH NOTE TO PRINTER Fnal Examnaton MATH 329 2005 01 1 NOTE TO PRINTER (These nstructons are for the prnter. They should not be duplcated.) Ths examnaton should be prnted on 8 1 2 14 paper, and stapled wth 3 sde staples, so

More information

Hewlett Packard 10BII Calculator

Hewlett Packard 10BII Calculator Hewlett Packard 0BII Calculator Keystrokes for the HP 0BII are shown n the tet. However, takng a mnute to revew the Quk Start secton, below, wll be very helpful n gettng started wth your calculator. Note:

More information

Final Exam. 7. (10 points) Please state whether each of the following statements is true or false. No explanation needed.

Final Exam. 7. (10 points) Please state whether each of the following statements is true or false. No explanation needed. Fnal Exam Fall 4 Econ 8-67 Closed Book. Formula Sheet Provded. Calculators OK. Tme Allowed: hours Please wrte your answers on the page below each queston. (5 ponts) Assume that the rsk-free nterest rate

More information

Macroeconomic Theory and Policy

Macroeconomic Theory and Policy ECO 209 Macroeconomc Theory and Polcy Lecture 7: The Open Economy wth Fxed Exchange Rates Gustavo Indart Slde 1 Open Economy under Fxed Exchange Rates Let s consder an open economy wth no captal moblty

More information

An Application of Alternative Weighting Matrix Collapsing Approaches for Improving Sample Estimates

An Application of Alternative Weighting Matrix Collapsing Approaches for Improving Sample Estimates Secton on Survey Research Methods An Applcaton of Alternatve Weghtng Matrx Collapsng Approaches for Improvng Sample Estmates Lnda Tompkns 1, Jay J. Km 2 1 Centers for Dsease Control and Preventon, atonal

More information

WHAT ARE REGISTERED SHARES?

WHAT ARE REGISTERED SHARES? Regstered Shares Secton BECOME A REGISTERED SHAREHOLDER AND RECEIVE A LOYALTY BONUS +10% WHAT ARE? Holdng regstered shares means that your shares are regstered n your name, makng t easer for you to receve

More information

AC : THE DIAGRAMMATIC AND MATHEMATICAL APPROACH OF PROJECT TIME-COST TRADEOFFS

AC : THE DIAGRAMMATIC AND MATHEMATICAL APPROACH OF PROJECT TIME-COST TRADEOFFS AC 2008-1635: THE DIAGRAMMATIC AND MATHEMATICAL APPROACH OF PROJECT TIME-COST TRADEOFFS Kun-jung Hsu, Leader Unversty Amercan Socety for Engneerng Educaton, 2008 Page 13.1217.1 Ttle of the Paper: The Dagrammatc

More information

FM303. CHAPTERS COVERED : CHAPTERS 5, 8 and 9. LEARNER GUIDE : UNITS 1, 2 and 3.1 to 3.3. DUE DATE : 3:00 p.m. 19 MARCH 2013

FM303. CHAPTERS COVERED : CHAPTERS 5, 8 and 9. LEARNER GUIDE : UNITS 1, 2 and 3.1 to 3.3. DUE DATE : 3:00 p.m. 19 MARCH 2013 Page 1 of 11 ASSIGNMENT 1 ST SEMESTER : FINANCIAL MANAGEMENT 3 () CHAPTERS COVERED : CHAPTERS 5, 8 and 9 LEARNER GUIDE : UNITS 1, 2 and 3.1 to 3.3 DUE DATE : 3:00 p.m. 19 MARCH 2013 TOTAL MARKS : 100 INSTRUCTIONS

More information

Problems to be discussed at the 5 th seminar Suggested solutions

Problems to be discussed at the 5 th seminar Suggested solutions ECON4260 Behavoral Economcs Problems to be dscussed at the 5 th semnar Suggested solutons Problem 1 a) Consder an ultmatum game n whch the proposer gets, ntally, 100 NOK. Assume that both the proposer

More information

MgtOp 215 Chapter 13 Dr. Ahn

MgtOp 215 Chapter 13 Dr. Ahn MgtOp 5 Chapter 3 Dr Ahn Consder two random varables X and Y wth,,, In order to study the relatonshp between the two random varables, we need a numercal measure that descrbes the relatonshp The covarance

More information

Construction Rules for Morningstar Canada Dividend Target 30 Index TM

Construction Rules for Morningstar Canada Dividend Target 30 Index TM Constructon Rules for Mornngstar Canada Dvdend Target 0 Index TM Mornngstar Methodology Paper January 2012 2011 Mornngstar, Inc. All rghts reserved. The nformaton n ths document s the property of Mornngstar,

More information

UNIVERSITY OF VICTORIA Midterm June 6, 2018 Solutions

UNIVERSITY OF VICTORIA Midterm June 6, 2018 Solutions UIVERSITY OF VICTORIA Mdterm June 6, 08 Solutons Econ 45 Summer A0 08 age AME: STUDET UMBER: V00 Course ame & o. Descrptve Statstcs and robablty Economcs 45 Secton(s) A0 CR: 3067 Instructor: Betty Johnson

More information

Chapter 3 Student Lecture Notes 3-1

Chapter 3 Student Lecture Notes 3-1 Chapter 3 Student Lecture otes 3-1 Busness Statstcs: A Decson-Makng Approach 6 th Edton Chapter 3 Descrbng Data Usng umercal Measures 005 Prentce-Hall, Inc. Chap 3-1 Chapter Goals After completng ths chapter,

More information

Monetary Tightening Cycles and the Predictability of Economic Activity. by Tobias Adrian and Arturo Estrella * October 2006.

Monetary Tightening Cycles and the Predictability of Economic Activity. by Tobias Adrian and Arturo Estrella * October 2006. Monetary Tghtenng Cycles and the Predctablty of Economc Actvty by Tobas Adran and Arturo Estrella * October 2006 Abstract Ten out of thrteen monetary tghtenng cycles snce 1955 were followed by ncreases

More information

Capability Analysis. Chapter 255. Introduction. Capability Analysis

Capability Analysis. Chapter 255. Introduction. Capability Analysis Chapter 55 Introducton Ths procedure summarzes the performance of a process based on user-specfed specfcaton lmts. The observed performance as well as the performance relatve to the Normal dstrbuton are

More information

ECONOMETRICS - FINAL EXAM, 3rd YEAR (GECO & GADE)

ECONOMETRICS - FINAL EXAM, 3rd YEAR (GECO & GADE) ECONOMETRICS - FINAL EXAM, 3rd YEAR (GECO & GADE) May 17, 2016 15:30 Frst famly name: Name: DNI/ID: Moble: Second famly Name: GECO/GADE: Instructor: E-mal: Queston 1 A B C Blank Queston 2 A B C Blank Queston

More information

Macroeconomic equilibrium in the short run: the Money market

Macroeconomic equilibrium in the short run: the Money market Macroeconomc equlbrum n the short run: the Money market 2013 1. The bg pcture Overvew Prevous lecture How can we explan short run fluctuatons n GDP? Key assumpton: stcky prces Equlbrum of the goods market

More information

Problem Set #4 Solutions

Problem Set #4 Solutions 4.0 Sprng 00 Page Problem Set #4 Solutons Problem : a) The extensve form of the game s as follows: (,) Inc. (-,-) Entrant (0,0) Inc (5,0) Usng backwards nducton, the ncumbent wll always set hgh prces,

More information

Fall 2017 Social Sciences 7418 University of Wisconsin-Madison Problem Set 3 Answers

Fall 2017 Social Sciences 7418 University of Wisconsin-Madison Problem Set 3 Answers ublc Affars 854 enze D. Chnn Fall 07 Socal Scences 748 Unversty of Wsconsn-adson roblem Set 3 Answers Due n Lecture on Wednesday, November st. " Box n" your answers to the algebrac questons.. Fscal polcy

More information

Actuarial Science: Financial Mathematics

Actuarial Science: Financial Mathematics STAT 485 Actuaral Scence: Fnancal Mathematcs 1.1.1 Effectve Rates of Interest Defnton Defnton lender. An nterest s money earned by deposted funds. An nterest rate s the rate at whch nterest s pad to the

More information

Preliminary communication. Received: 20 th November 2013 Accepted: 10 th December 2013 SUMMARY

Preliminary communication. Received: 20 th November 2013 Accepted: 10 th December 2013 SUMMARY Elen Twrdy, Ph. D. Mlan Batsta, Ph. D. Unversty of Ljubljana Faculty of Martme Studes and Transportaton Pot pomorščakov 4 632 Portorož Slovena Prelmnary communcaton Receved: 2 th November 213 Accepted:

More information

2.1 The Inverting Configuration

2.1 The Inverting Configuration /3/0 secton _ The nertng confguraton /. The Inertng Confguraton eadng Assgnment: pp. 6876 One use of amps s to make amplfers! Ths seems rather obous, but remember an amp by tself has too much gan to be

More information

THIRD MIDTERM EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MARCH 24, 2004

THIRD MIDTERM EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MARCH 24, 2004 THIRD MIDTERM EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MARCH 24, 2004 Ths exam has questons on eght pages. Before you begn, please check to make sure that your copy has all questons and all eght

More information

Understanding price volatility in electricity markets

Understanding price volatility in electricity markets Proceedngs of the 33rd Hawa Internatonal Conference on System Scences - 2 Understandng prce volatlty n electrcty markets Fernando L. Alvarado, The Unversty of Wsconsn Rajesh Rajaraman, Chrstensen Assocates

More information

A Php 5,000 loan is being repaid in 10 yearly payments. If interest is 8% effective, find the annual payment. 1 ( ) 10) 0.

A Php 5,000 loan is being repaid in 10 yearly payments. If interest is 8% effective, find the annual payment. 1 ( ) 10) 0. Amortzaton If a loan s repad on nstalment (whch s usually n equal amounts); then the loan s sad to be repad by the amortzaton method. Under ths method, each nstalment ncludes the repayment of prncpal and

More information

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of Module 8: Probablty and Statstcal Methods n Water Resources Engneerng Bob Ptt Unversty of Alabama Tuscaloosa, AL Flow data are avalable from numerous USGS operated flow recordng statons. Data s usually

More information

The Optimal Interval Partition and Second-Factor Fuzzy Set B i on the Impacts of Fuzzy Time Series Forecasting

The Optimal Interval Partition and Second-Factor Fuzzy Set B i on the Impacts of Fuzzy Time Series Forecasting Ch-Chen Wang, Yueh-Ju Ln, Yu-Ren Zhang, Hsen-Lun Wong The Optmal Interval Partton and Second-Factor Fuzzy Set B on the Impacts of Fuzzy Tme Seres Forecastng CHI-CHEN WANG 1 1 Department of Fnancal Management,

More information

II. Random Variables. Variable Types. Variables Map Outcomes to Numbers

II. Random Variables. Variable Types. Variables Map Outcomes to Numbers II. Random Varables Random varables operate n much the same way as the outcomes or events n some arbtrary sample space the dstncton s that random varables are smply outcomes that are represented numercally.

More information

Trader Vic Index Methodology

Trader Vic Index Methodology Trader Vc Index Methodology 1. General Descrpton The Trader Vc Index (the Index ) s an ndex whch follows a rules-based methodology desgned to reflect the prce trends n a dversfed portfolo of notonal futures

More information

Investment Management Active Portfolio Management

Investment Management Active Portfolio Management Investment Management Actve Portfolo Management Road Map The Effcent Markets Hypothess (EMH) and beatng the market Actve portfolo management Market tmng Securty selecton Securty selecton: Treynor&Black

More information

SOCIETY OF ACTUARIES FINANCIAL MATHEMATICS. EXAM FM SAMPLE SOLUTIONS Interest Theory

SOCIETY OF ACTUARIES FINANCIAL MATHEMATICS. EXAM FM SAMPLE SOLUTIONS Interest Theory SOCIETY OF ACTUARIES EXAM FM FINANCIAL MATHEMATICS EXAM FM SAMPLE SOLUTIONS Interest Theory Ths page ndcates changes made to Study Note FM-09-05. January 14, 014: Questons and solutons 58 60 were added.

More information

Calibration Methods: Regression & Correlation. Calibration Methods: Regression & Correlation

Calibration Methods: Regression & Correlation. Calibration Methods: Regression & Correlation Calbraton Methods: Regresson & Correlaton Calbraton A seres of standards run (n replcate fashon) over a gven concentraton range. Standards Comprsed of analte(s) of nterest n a gven matr composton. Matr

More information

- contrast so-called first-best outcome of Lindahl equilibrium with case of private provision through voluntary contributions of households

- contrast so-called first-best outcome of Lindahl equilibrium with case of private provision through voluntary contributions of households Prvate Provson - contrast so-called frst-best outcome of Lndahl equlbrum wth case of prvate provson through voluntary contrbutons of households - need to make an assumpton about how each household expects

More information

CS 286r: Matching and Market Design Lecture 2 Combinatorial Markets, Walrasian Equilibrium, Tâtonnement

CS 286r: Matching and Market Design Lecture 2 Combinatorial Markets, Walrasian Equilibrium, Tâtonnement CS 286r: Matchng and Market Desgn Lecture 2 Combnatoral Markets, Walrasan Equlbrum, Tâtonnement Matchng and Money Recall: Last tme we descrbed the Hungaran Method for computng a maxmumweght bpartte matchng.

More information

Fiera Capital s CIA Accounting Discount Rate Curve Implementation Note. Fiera Capital Corporation

Fiera Capital s CIA Accounting Discount Rate Curve Implementation Note. Fiera Capital Corporation Fera aptal s IA Accountng Dscount Rate urve Implementaton Note Fera aptal orporaton November 2016 Ths document s provded for your prvate use and for nformaton purposes only as of the date ndcated heren

More information

Economics 1410 Fall Section 7 Notes 1. Define the tax in a flexible way using T (z), where z is the income reported by the agent.

Economics 1410 Fall Section 7 Notes 1. Define the tax in a flexible way using T (z), where z is the income reported by the agent. Economcs 1410 Fall 2017 Harvard Unversty Yaan Al-Karableh Secton 7 Notes 1 I. The ncome taxaton problem Defne the tax n a flexble way usng T (), where s the ncome reported by the agent. Retenton functon:

More information

Term Sheet CORE INFRA PORTFOLIO

Term Sheet CORE INFRA PORTFOLIO Term Sheet CORE INFRA PORTFOLIO HIGHLIGHTS/ SUMMARY OF THE PRODUCT Product Name Objectve Investment Horzon Underlyng Asset class Instruments Usage of Dervatves Rsk Sutablty Defned Tenure Repayment Benchmark

More information

ECO 209Y MACROECONOMIC THEORY AND POLICY LECTURE 8: THE OPEN ECONOMY WITH FIXED EXCHANGE RATES

ECO 209Y MACROECONOMIC THEORY AND POLICY LECTURE 8: THE OPEN ECONOMY WITH FIXED EXCHANGE RATES ECO 209 MACROECONOMIC THEOR AND POLIC LECTURE 8: THE OPEN ECONOM WITH FIXED EXCHANGE RATES Gustavo Indart Slde 1 OPEN ECONOM UNDER FIXED EXCHANGE RATES Let s consder an open economy wth no captal moblty

More information

THE VOLATILITY OF EQUITY MUTUAL FUND RETURNS

THE VOLATILITY OF EQUITY MUTUAL FUND RETURNS North Amercan Journal of Fnance and Bankng Research Vol. 4. No. 4. 010. THE VOLATILITY OF EQUITY MUTUAL FUND RETURNS Central Connectcut State Unversty, USA. E-mal: BelloZ@mal.ccsu.edu ABSTRACT I nvestgated

More information

Incorrect Beliefs. Overconfidence. Types of Overconfidence. Outline. Overprecision 4/15/2017. Behavioral Economics Mark Dean Spring 2017

Incorrect Beliefs. Overconfidence. Types of Overconfidence. Outline. Overprecision 4/15/2017. Behavioral Economics Mark Dean Spring 2017 Incorrect Belefs Overconfdence Behavoral Economcs Mark Dean Sprng 2017 In objectve EU we assumed that everyone agreed on what the probabltes of dfferent events were In subjectve expected utlty theory we

More information

Analysis of Variance and Design of Experiments-II

Analysis of Variance and Design of Experiments-II Analyss of Varance and Desgn of Experments-II MODULE VI LECTURE - 4 SPLIT-PLOT AND STRIP-PLOT DESIGNS Dr. Shalabh Department of Mathematcs & Statstcs Indan Insttute of Technology Kanpur An example to motvate

More information

Prospect Theory and Asset Prices

Prospect Theory and Asset Prices Fnance 400 A. Penat - G. Pennacch Prospect Theory and Asset Prces These notes consder the asset prcng mplcatons of nvestor behavor that ncorporates Prospect Theory. It summarzes an artcle by N. Barbers,

More information

PASS Sample Size Software. :log

PASS Sample Size Software. :log PASS Sample Sze Software Chapter 70 Probt Analyss Introducton Probt and lot analyss may be used for comparatve LD 50 studes for testn the effcacy of drus desned to prevent lethalty. Ths proram module presents

More information

Spurious Seasonal Patterns and Excess Smoothness in the BLS Local Area Unemployment Statistics

Spurious Seasonal Patterns and Excess Smoothness in the BLS Local Area Unemployment Statistics Spurous Seasonal Patterns and Excess Smoothness n the BLS Local Area Unemployment Statstcs Keth R. Phllps and Janguo Wang Federal Reserve Bank of Dallas Research Department Workng Paper 1305 September

More information

Members not eligible for this option

Members not eligible for this option DC - Lump sum optons R6.2 Uncrystallsed funds penson lump sum An uncrystallsed funds penson lump sum, known as a UFPLS (also called a FLUMP), s a way of takng your penson pot wthout takng money from a

More information