SlideShare a Scribd company logo
1 of 201
Download to read offline
Microsoft (MSFT) Augusto Pucci
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Microsoft Campus
Microsoft: Company Overview
Financial Highlights ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],William Henry Gates III   (Seattle, 10/28/1955)
Financial Highlights ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Steven Anthony Ballmer   (Detroit, 03/24/1956)
Important Dates ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Important Dates [2] ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
MSFT – Return Analysis
Adj_Close from 03/13/1986 to 02/05/2009 9/11 Win95 Win98 monopoly accuse European antitrust action 5,000 emp. layoffs
RT from 03/13/1986 to 02/05/2009 9/11 Win95 Win98 monopoly accuse European antitrust action 5,000 emp. layoffs
Windows 95 & Windows 98 Win95 Win98
Windows 95 & Windows 98 Win95 Win98
Dot.Com Bubble & 9/11 9/11 monopoly accuse
Dot.Com Bubble & 9/11 9/11 monopoly accuse
European antitrust accuse & massive layoffs European antitrust action 5,000 emp. layoffs
European antitrust accuse & massive layoffs European antitrust action 5,000 emp. layoffs
RT - Histogram
Windows 95 & Windows 98
Dot.Com Bubble & 9/11
RT Synth - Histogram
RT Vs. RT Synth 5776 5776 Observations 9143113. 9136709. Sum Sq. Dev. 8686.960 8147.096 Sum 0.000000 0.066684 Probability 51406.45 5.415586 Jarque-Bera 17.56243   3.076041 Kurtosis -0.619675 -0.064653 Skewness   39.78974   39.77580 Std. Dev. -602.4211 -154.1308 Minimum 283.3044    143.1277 Maximum   0.000000   1.712924 Median   1.503975   1.410508 Mean RT RT_SYNTH
RT Synth
RT Vs. RT Synth [2]
RT Vs. RT Synth [3]
RT - Correlogram Sign. Level (5%) =  ± 0.025
RT 2  - Correlogram Sign. Level (5%) =  ± 0.025
abs(RT) - Correlogram Sign. Level (5%) =  ± 0.025
RT 2
RT 2  - Histogram
abs(RT)
abs(RT) - Histogram
RT – AR(2) model
RTF - AR(2) Static Forecast
RT Vs. RTF AR(2) Static Forecast
RTF - AR(2) Dynamic Forecast
RT AR(2) – Residual Plot
RT AR(2) – Residual Plot [2]
RT AR(2) – Residual Histogram
RT AR(2) – Residual Correlogram Sign. Level (5%) =  ± 0.025
RT AR(2) – Residual ARCH Test
RT – AR(2) – ARCH(1) model
RT – AR(2) – ARCH(1) model σ 2  = 1,618.1026 σ   =  40.225647
RT – ARCH(1) Residual Plot
RT – ARCH(1) Conditional Variance Plot
RT – ARCH(1) Residual Vs. Conditional Variance Plot
RT – ARCH(1) Std. Residual Plot
RT – ARCH(1) Residuals Vs. Std. Residuals Plot
RT – ARCH(1) Std. Residuals Vs. Residuals
RT – ARCH(1) Conditional Variance Vs. Std. Residuals
RT – ARCH(1) Residual Histogram
RT – ARCH(1) Std. Residual Correlogram Sign. Level (5%) =  ± 0.025
RT – ARCH(1) Squared Std. Residual Correlogram Sign. Level (5%) =  ± 0.025
RT ARCH(1) – Residual ARCH Test
RT – AR(2) – ARCH(2) model
RT – AR(2) – ARCH(2) model σ 2  = 1,635.1865 σ   =  40.437440
RT – ARCH(2) Residual Plot
RT – ARCH(2) Conditional Variance Plot
RT – ARCH(2) Residual Vs. Conditional Variance Plot
RT – ARCH(2) Std. Residual Plot
RT – ARCH(2) Residuals Vs. Std. Residuals Plot
RT – ARCH(2) Std. Residuals Vs. Residuals
RT – ARCH(2) Conditional Variance Vs. Std. Residuals
RT – ARCH(2) Residual Histogram
RT – ARCH(2) Std. Residual Correlogram Sign. Level (5%) =  ± 0.025
RT – ARCH(2) Squared Std. Residual Correlogram Sign. Level (5%) =  ± 0.025
RT ARCH(2) – Residual ARCH Test
RT – AR(2) – GARCH(1,1) model
RT – AR(2) – GARCH(1,1) model σ 2  = 2,391.1118 σ   =  48.898996
RT – GARCH(1,1) Residual Plot
RT – GARCH(1,1) Conditional Variance Plot
RT – GARCH(1,1) Residual Vs. Conditional Variance Plot
RT – GARCH(1,1) Std. Residual Plot
RT – GARCH(1,1) Residuals Vs. Std. Residuals Plot
RT – GARCH(1,1) Std. Residuals Vs. Residuals
RT – GARCH(1,1) Conditional Variance Vs. Std. Residuals
RT – GARCH(1,1) Residual Histogram
RT – GARCH(1,1) Std. Residual Correlogram Sign. Level (5%) =  ± 0.025
RT – GARCH(1,1) Squared Std. Residual Correlogram Sign. Level (5%) =  ± 0.025
RT GARCH(1,1) – Residual ARCH Test
RT GARCH(1,1) - Sign Bias Test
RT GARCH(1,1) – Negative Size Bias Test
RT – AR(2) – TGARCH(1,1) model
RT – AR(2) – TGARCH(1,1) model σ 2  = 2,656.5854 σ   =  51.542074
RT – TGARCH(1,1) Residual Plot
RT – TGARCH(1,1) Conditional Variance Plot
RT – TGARCH(1,1) Residual Vs. Conditional Variance Plot
RT – TGARCH(1,1) Std. Residual Plot
RT – TGARCH(1,1) Residuals Vs. Std. Residuals Plot
RT – TGARCH(1,1) Std. Residuals Vs. Residuals
RT – TGARCH(1,1) Conditional Variance Vs. Std. Residuals
RT – TGARCH(1,1) Residual Histogram
RT – TGARCH(1,1) Std. Residual Correlogram Sign. Level (5%) =  ± 0.025
RT – TGARCH(1,1) Squared Std. Residual Correlogram Sign. Level (5%) =  ± 0.025
RT TGARCH(1,1) – Residual ARCH Test
Range & Range 2 ,[object Object],[object Object]
Range 2  model
E[ Range 2 t  | I (t-1)  ] (from Range MEM)
Range 2 t   Vs. E[ Range 2 t  | I (t-1)  ]
abs(RT) model -> RT 2  model
RT 2  model
E[ RT 2 t  | I (t-1)  ] (from abs(RT) MEM)
RT 2 t   Vs. E[ RT 2 t  | I (t-1)  ]
RT – GARCH(1,1) model Extended…
RT – GARCH(1,1) eXt. model
RT – GARCH(1,1) eXt.   Residual Plot
RT – GARCH(1,1) eXt. Conditional Variance Plot
RT – GARCH(1,1) eXt. Residual Vs. Conditional Variance Plot
RT – GARCH(1,1) eXt. Std. Residual Plot
RT – GARCH(1,1) eXt. Residuals Vs. Std. Residuals Plot
RT – GARCH(1,1) eXt. Std. Residuals Vs. Residuals
RT – GARCH(1,1) eXt. Conditional Variance Vs. Std. Residuals
RT – GARCH(1,1) eXt. Residual Histogram
RT – GARCH(1,1) eXt. Std. Residual Correlogram Sign. Level (5%) =  ± 0.025
RT – GARCH(1,1) eXt. Squared Std. Residual Correlogram Sign. Level (5%) =  ± 0.025
RT - GARCH(1,1) eXt – Residual ARCH Test
RT – GARCH(1,1) model Extended 2…
RT – GARCH(1,1) eXt.2 model
RT – GARCH(1,1) eXt.2   Residual Plot
RT – GARCH(1,1) eXt.2 Conditional Variance Plot
RT – GARCH(1,1) eXt.2 Residual Vs. Conditional Variance Plot
RT – GARCH(1,1) eXt.2 Std. Residual Plot
RT – GARCH(1,1) eXt.2 Residuals Vs. Std. Residuals Plot
RT – GARCH(1,1) eXt.2 Std. Residuals Vs. Residuals
RT – GARCH(1,1) eXt.2 Conditional Variance Vs. Std. Residuals
RT – GARCH(1,1) eXt.2 Residual Histogram
RT – GARCH(1,1) eXt.2 Std. Residual Correlogram Sign. Level (5%) =  ± 0.025
RT – GARCH(1,1) eXt.2 Squared Std. Residual Correlogram Sign. Level (5%) =  ± 0.025
RT - GARCH(1,1) eXt.2 – Residual ARCH Test
RT – AR(2) – TGARCH(1,1) ShortFall
RT Vs. Expected Loss [ -1.000*sqr(GARCH) ] Z α  = 1.000
Shortfall  [ min{rt-loss_hat,0}] Z α  = 1.000
Shortfall Histogram  [12.1406 %] Z α  = 1.000 [12.1406 %]
RT Vs. Expected Loss [ -2.000*sqr(GARCH) ] Z α  = 2.000
Shortfall  [ min{rt-loss_hat,0}] Z α  = 2.000
Shortfall Histogram  [1.9050 %] Z α  = 2.000 [1.9050 %]
RT Vs. Expected Loss [ -2.250*sqr(GARCH) ] Z α  = 2.250
Shortfall  [ min{rt-loss_hat,0}] Z α  = 2.250
Shortfall Histogram  [1.3508 %] Z α  = 2.250 [1.3508 %]
RT Vs. Expected Loss [ -2.250*sqr(GARCH) ] Z α  = 2.426
Shortfall  [ min{rt-loss_hat,0}] Z α  = 2.426
Shortfall Histogram  [1.0737 %] Z α  = 2.426 [1.0737 %]
RT Vs. Expected Loss [ -3.000*sqr(GARCH) ] Z α  = 3.000
Shortfall  [ min{rt-loss_hat,0}] Z α  = 3.000
Shortfall Histogram  [0.5542 %] Z α  = 3.000 0.5542 %]
RT Vs. Expected Loss [ -4.000*sqr(GARCH) ] Z α  = 4.000
Shortfall  [ min{rt-loss_hat,0}] Z α  = 4.000
Shortfall Histogram  [0.1383 %] Z α  = 4.000 [0.1383 %]
Volatility Forecasting from: TGARCH(1,1) model
TGARCH(1,1) - Plot RT  ± 2  σ
TGARCH(1,1) – Variance Dynamic Forecast (out of the sample) 02/06/2009  - 02/06/2010
TGARCH(1,1) - Plot RT  ± 2  σ   Variance Dynamic Forecast (out of the sample)
TGARCH(1,1) – Variance Dynamic Forecast (in the sample) Training Set:  03/13/1986 - 12/31/2007 Test Set:  01/01/2008 - 02/05/2009
TGARCH(1,1) - Plot RT  ± 2  σ   Variance Dynamic Forecast (in the sample)
TGARCH(1,1) – Variance Static Forecast (in the sample) Training Set:  03/13/1986 - 12/31/2007 Test Set:  01/01/2008 - 02/05/2009
TGARCH(1,1) - Plot RT  ± 2  σ   Variance Static Forecast (in the sample)
Volatility Forecasting from: Range 2  model
Range 2  - Plot RT  ± 2  σ
Range 2  – Variance Dynamic Forecast (in the sample) Training Set:  03/13/1986 - 12/31/2007 Test Set:  01/01/2008 - 02/05/2009
Range 2  - Plot RT  ± 2  σ   Variance Dynamic Forecast (in the sample)
Range 2  – Variance Static Forecast (in the sample) Training Set:  03/13/1986 - 12/31/2007 Test Set:  01/01/2008 - 02/05/2009
Range 2  - Plot RT  ± 2  σ   Variance Static Forecast (in the sample)
Volatility Forecasting from: GARCH(1,1) eXt. model
GARCH(1,1) eXt.2   - Plot RT  ± 2  σ
GARCH(1,1) eXt.2 – Variance Dynamic Forecast (in the sample) Training Set:  03/13/1986 - 12/31/2007 Test Set:  01/01/2008 - 02/05/2009
GARCH(1,1) eXt.2 - Plot RT  ± 2  σ   Variance Dynamic Forecast (in the sample)
GARCH(1,1) eXt.2 –  Variance Static Forecast (in the sample) Training Set:  03/13/1986 - 12/31/2007 Test Set:  01/01/2008 - 02/05/2009
GARCH(1,1) eXt.2 - Plot RT  ± 2  σ   Variance Static Forecast (in the sample)
Conditional Variance Comparisons
Extra Stuff…
S&P 500
RT MSFT Vs. RM S&P500
RX = RT - RM 9/11 Win95 Win98 monopoly accuse European antitrust action 5,000 emp. layoffs
RX - Histogram
RX - Correlogram Sign. Level (5%) =  ± 0.025
RX 2  - Correlogram Sign. Level (5%) =  ± 0.025
RX – AR(2) model
RXF - AR(2) Static Forecast
RX Vs. RXF AR(2) Static Forecast
RXF - AR(2) Dynamic Forecast
RX AR(2) – Residual Plot
RX AR(2) – Residual Plot [2]
RX AR(2) – Residual Histogram
RX AR(2) – Residual Correlogram Sign. Level (5%) =  ± 0.025
RX AR(2) – Squared Residual Correlogram Sign. Level (5%) =  ± 0.025
RX AR(2) – Residual ARCH Test
RX – AR(2) – GARCH(1,1) model
RX – AR(2) – GARCH(1,1) model σ 2  = 1,055.5790 σ   =  32.489675
RX – AR(2) - GARCH(1,1) Residual Plot
RX – AR(2) - GARCH(1,1) Conditional Variance Plot
RX – AR(2) – GARCH(1,1) Residual Vs. Conditional Variance Plot
RX – AR(2) -GARCH(1,1) Std. Residual Plot
RX – AR(2) - GARCH(1,1) Residuals Vs. Std. Residuals Plot
RX – AR(2) - GARCH(1,1) Std. Residuals Vs. Residuals
RX – AR(2) - GARCH(1,1) Conditional Variance Vs. Std. Residuals
RX – AR(2) - GARCH(1,1) Residual Histogram
RX – AR(2) - GARCH(1,1) Std. Residual Correlogram Sign. Level (5%) =  ± 0.025
RX – AR(2) - GARCH(1,1) Squared Std. Residual Correlogram Sign. Level (5%) =  ± 0.025
RX - AR(2) - GARCH(1,1) – Residual ARCH Test
RX - AR(2) - GARCH(1,1) – Variance Dynamic Forecast
Grazie dell’Attenzione !!!

More Related Content

Similar to Microsoft - Volatility modeling and analysis

Streaming multiscale anomaly detection
Streaming multiscale anomaly detectionStreaming multiscale anomaly detection
Streaming multiscale anomaly detectionRavi Kiran B.
 
Model reduction design for continuous systems with finite frequency specifications
Model reduction design for continuous systems with finite frequency specificationsModel reduction design for continuous systems with finite frequency specifications
Model reduction design for continuous systems with finite frequency specificationsIJECEIAES
 
Design of a novel controller to increase the frequency response of an aerospace
Design of a novel controller to increase the frequency response of an aerospaceDesign of a novel controller to increase the frequency response of an aerospace
Design of a novel controller to increase the frequency response of an aerospaceIAEME Publication
 
Vector time series sas-writing sample
Vector time series sas-writing sampleVector time series sas-writing sample
Vector time series sas-writing sampleQingyang Liu
 
3.ASSEMBLERS.pptx
3.ASSEMBLERS.pptx3.ASSEMBLERS.pptx
3.ASSEMBLERS.pptxGaganaP13
 
Linear models
Linear modelsLinear models
Linear modelsFAO
 
Time and size covariate generalization of growth curves and their extension t...
Time and size covariate generalization of growth curves and their extension t...Time and size covariate generalization of growth curves and their extension t...
Time and size covariate generalization of growth curves and their extension t...bimchk
 
Atmospheric Correction Algorithm_IGARSS.pptx
Atmospheric Correction Algorithm_IGARSS.pptxAtmospheric Correction Algorithm_IGARSS.pptx
Atmospheric Correction Algorithm_IGARSS.pptxgrssieee
 
Ph.D. Capstone Seminar
Ph.D. Capstone SeminarPh.D. Capstone Seminar
Ph.D. Capstone Seminarshirabay
 
Actuator Constrained Optimal Control of Formations Near the Libration Points
Actuator Constrained Optimal Control of Formations Near the Libration PointsActuator Constrained Optimal Control of Formations Near the Libration Points
Actuator Constrained Optimal Control of Formations Near the Libration PointsBelinda Marchand
 
Instruction set of 8051.ppt
Instruction set of 8051.pptInstruction set of 8051.ppt
Instruction set of 8051.pptChandiniChinni2
 
Vapor Combustor Improvement Project LinkedIn Presentation February 2016
Vapor Combustor Improvement Project LinkedIn Presentation February 2016Vapor Combustor Improvement Project LinkedIn Presentation February 2016
Vapor Combustor Improvement Project LinkedIn Presentation February 2016Tim Krimmel, MEM
 
Limited participation and local currency sovereign debt
Limited participation and local currency sovereign debtLimited participation and local currency sovereign debt
Limited participation and local currency sovereign debtADEMU_Project
 
Fuzzy logic based mrac for a second order system
Fuzzy logic based mrac for a second order systemFuzzy logic based mrac for a second order system
Fuzzy logic based mrac for a second order systemIAEME Publication
 
Fuzzy logic based mrac for a second order system
Fuzzy logic based mrac for a second order systemFuzzy logic based mrac for a second order system
Fuzzy logic based mrac for a second order systemIAEME Publication
 

Similar to Microsoft - Volatility modeling and analysis (20)

Streaming multiscale anomaly detection
Streaming multiscale anomaly detectionStreaming multiscale anomaly detection
Streaming multiscale anomaly detection
 
Model reduction design for continuous systems with finite frequency specifications
Model reduction design for continuous systems with finite frequency specificationsModel reduction design for continuous systems with finite frequency specifications
Model reduction design for continuous systems with finite frequency specifications
 
Design of a novel controller to increase the frequency response of an aerospace
Design of a novel controller to increase the frequency response of an aerospaceDesign of a novel controller to increase the frequency response of an aerospace
Design of a novel controller to increase the frequency response of an aerospace
 
Vector time series sas-writing sample
Vector time series sas-writing sampleVector time series sas-writing sample
Vector time series sas-writing sample
 
3.ASSEMBLERS.pptx
3.ASSEMBLERS.pptx3.ASSEMBLERS.pptx
3.ASSEMBLERS.pptx
 
Chapter5
Chapter5Chapter5
Chapter5
 
12
1212
12
 
ACS 22LIE12 lab Manul.docx
ACS 22LIE12 lab Manul.docxACS 22LIE12 lab Manul.docx
ACS 22LIE12 lab Manul.docx
 
IMU General Introduction
IMU General IntroductionIMU General Introduction
IMU General Introduction
 
NASA 2004 PP
NASA 2004 PPNASA 2004 PP
NASA 2004 PP
 
Linear models
Linear modelsLinear models
Linear models
 
Time and size covariate generalization of growth curves and their extension t...
Time and size covariate generalization of growth curves and their extension t...Time and size covariate generalization of growth curves and their extension t...
Time and size covariate generalization of growth curves and their extension t...
 
Atmospheric Correction Algorithm_IGARSS.pptx
Atmospheric Correction Algorithm_IGARSS.pptxAtmospheric Correction Algorithm_IGARSS.pptx
Atmospheric Correction Algorithm_IGARSS.pptx
 
Ph.D. Capstone Seminar
Ph.D. Capstone SeminarPh.D. Capstone Seminar
Ph.D. Capstone Seminar
 
Actuator Constrained Optimal Control of Formations Near the Libration Points
Actuator Constrained Optimal Control of Formations Near the Libration PointsActuator Constrained Optimal Control of Formations Near the Libration Points
Actuator Constrained Optimal Control of Formations Near the Libration Points
 
Instruction set of 8051.ppt
Instruction set of 8051.pptInstruction set of 8051.ppt
Instruction set of 8051.ppt
 
Vapor Combustor Improvement Project LinkedIn Presentation February 2016
Vapor Combustor Improvement Project LinkedIn Presentation February 2016Vapor Combustor Improvement Project LinkedIn Presentation February 2016
Vapor Combustor Improvement Project LinkedIn Presentation February 2016
 
Limited participation and local currency sovereign debt
Limited participation and local currency sovereign debtLimited participation and local currency sovereign debt
Limited participation and local currency sovereign debt
 
Fuzzy logic based mrac for a second order system
Fuzzy logic based mrac for a second order systemFuzzy logic based mrac for a second order system
Fuzzy logic based mrac for a second order system
 
Fuzzy logic based mrac for a second order system
Fuzzy logic based mrac for a second order systemFuzzy logic based mrac for a second order system
Fuzzy logic based mrac for a second order system
 

Recently uploaded

BCE24 | Virtual Brand Ambassadors: Making Brands Personal - John Meulemans
BCE24 | Virtual Brand Ambassadors: Making Brands Personal - John MeulemansBCE24 | Virtual Brand Ambassadors: Making Brands Personal - John Meulemans
BCE24 | Virtual Brand Ambassadors: Making Brands Personal - John MeulemansBBPMedia1
 
NASA CoCEI Scaling Strategy - November 2023
NASA CoCEI Scaling Strategy - November 2023NASA CoCEI Scaling Strategy - November 2023
NASA CoCEI Scaling Strategy - November 2023Steve Rader
 
Ethical stalking by Mark Williams. UpliftLive 2024
Ethical stalking by Mark Williams. UpliftLive 2024Ethical stalking by Mark Williams. UpliftLive 2024
Ethical stalking by Mark Williams. UpliftLive 2024Winbusinessin
 
Borderless Access - Global Panel book-unlock 2024
Borderless Access - Global Panel book-unlock 2024Borderless Access - Global Panel book-unlock 2024
Borderless Access - Global Panel book-unlock 2024Borderless Access
 
Boat Trailers Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opp...
Boat Trailers Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opp...Boat Trailers Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opp...
Boat Trailers Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opp...IMARC Group
 
To Create Your Own Wig Online To Create Your Own Wig Online
To Create Your Own Wig Online  To Create Your Own Wig OnlineTo Create Your Own Wig Online  To Create Your Own Wig Online
To Create Your Own Wig Online To Create Your Own Wig Onlinelng ths
 
Entrepreneurship & organisations: influences and organizations
Entrepreneurship & organisations: influences and organizationsEntrepreneurship & organisations: influences and organizations
Entrepreneurship & organisations: influences and organizationsP&CO
 
Borderless Access - Global B2B Panel book-unlock 2024
Borderless Access - Global B2B Panel book-unlock 2024Borderless Access - Global B2B Panel book-unlock 2024
Borderless Access - Global B2B Panel book-unlock 2024Borderless Access
 
Anyhr.io | Presentation HR&Recruiting agency
Anyhr.io | Presentation HR&Recruiting agencyAnyhr.io | Presentation HR&Recruiting agency
Anyhr.io | Presentation HR&Recruiting agencyHanna Klim
 
Tata Kelola Bisnis perushaan yang bergerak
Tata Kelola Bisnis perushaan yang bergerakTata Kelola Bisnis perushaan yang bergerak
Tata Kelola Bisnis perushaan yang bergerakEditores1
 
Mihir Menda - Member of Supervisory Board at RMZ
Mihir Menda - Member of Supervisory Board at RMZMihir Menda - Member of Supervisory Board at RMZ
Mihir Menda - Member of Supervisory Board at RMZKanakChauhan5
 
Borderless Access - Global Panel book-unlock 2024
Borderless Access - Global Panel book-unlock 2024Borderless Access - Global Panel book-unlock 2024
Borderless Access - Global Panel book-unlock 2024Borderless Access
 
PDT 88 - 4 million seed - Seed - Protecto.pdf
PDT 88 - 4 million seed - Seed - Protecto.pdfPDT 88 - 4 million seed - Seed - Protecto.pdf
PDT 88 - 4 million seed - Seed - Protecto.pdfHajeJanKamps
 
Upgrade Your Banking Experience with Advanced Core Banking Applications
Upgrade Your Banking Experience with Advanced Core Banking ApplicationsUpgrade Your Banking Experience with Advanced Core Banking Applications
Upgrade Your Banking Experience with Advanced Core Banking ApplicationsIntellect Design Arena Ltd
 
Talent Management research intelligence_13 paradigm shifts_20 March 2024.pdf
Talent Management research intelligence_13 paradigm shifts_20 March 2024.pdfTalent Management research intelligence_13 paradigm shifts_20 March 2024.pdf
Talent Management research intelligence_13 paradigm shifts_20 March 2024.pdfCharles Cotter, PhD
 
AMAZON SELLER VIRTUAL ASSISTANT PRODUCT RESEARCH .pdf
AMAZON SELLER VIRTUAL ASSISTANT PRODUCT RESEARCH .pdfAMAZON SELLER VIRTUAL ASSISTANT PRODUCT RESEARCH .pdf
AMAZON SELLER VIRTUAL ASSISTANT PRODUCT RESEARCH .pdfJohnCarloValencia4
 
UNLEASHING THE POWER OF PROGRAMMATIC ADVERTISING
UNLEASHING THE POWER OF PROGRAMMATIC ADVERTISINGUNLEASHING THE POWER OF PROGRAMMATIC ADVERTISING
UNLEASHING THE POWER OF PROGRAMMATIC ADVERTISINGlokeshwarmaha
 
Project Brief & Information Architecture Report
Project Brief & Information Architecture ReportProject Brief & Information Architecture Report
Project Brief & Information Architecture Reportamberjiles31
 
Harvard Business Review.pptx | Navigating Labor Unrest (March-April 2024)
Harvard Business Review.pptx | Navigating Labor Unrest (March-April 2024)Harvard Business Review.pptx | Navigating Labor Unrest (March-April 2024)
Harvard Business Review.pptx | Navigating Labor Unrest (March-April 2024)tazeenaila12
 
Michael Vidyakin: Introduction to PMO (UA)
Michael Vidyakin: Introduction to PMO (UA)Michael Vidyakin: Introduction to PMO (UA)
Michael Vidyakin: Introduction to PMO (UA)Lviv Startup Club
 

Recently uploaded (20)

BCE24 | Virtual Brand Ambassadors: Making Brands Personal - John Meulemans
BCE24 | Virtual Brand Ambassadors: Making Brands Personal - John MeulemansBCE24 | Virtual Brand Ambassadors: Making Brands Personal - John Meulemans
BCE24 | Virtual Brand Ambassadors: Making Brands Personal - John Meulemans
 
NASA CoCEI Scaling Strategy - November 2023
NASA CoCEI Scaling Strategy - November 2023NASA CoCEI Scaling Strategy - November 2023
NASA CoCEI Scaling Strategy - November 2023
 
Ethical stalking by Mark Williams. UpliftLive 2024
Ethical stalking by Mark Williams. UpliftLive 2024Ethical stalking by Mark Williams. UpliftLive 2024
Ethical stalking by Mark Williams. UpliftLive 2024
 
Borderless Access - Global Panel book-unlock 2024
Borderless Access - Global Panel book-unlock 2024Borderless Access - Global Panel book-unlock 2024
Borderless Access - Global Panel book-unlock 2024
 
Boat Trailers Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opp...
Boat Trailers Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opp...Boat Trailers Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opp...
Boat Trailers Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opp...
 
To Create Your Own Wig Online To Create Your Own Wig Online
To Create Your Own Wig Online  To Create Your Own Wig OnlineTo Create Your Own Wig Online  To Create Your Own Wig Online
To Create Your Own Wig Online To Create Your Own Wig Online
 
Entrepreneurship & organisations: influences and organizations
Entrepreneurship & organisations: influences and organizationsEntrepreneurship & organisations: influences and organizations
Entrepreneurship & organisations: influences and organizations
 
Borderless Access - Global B2B Panel book-unlock 2024
Borderless Access - Global B2B Panel book-unlock 2024Borderless Access - Global B2B Panel book-unlock 2024
Borderless Access - Global B2B Panel book-unlock 2024
 
Anyhr.io | Presentation HR&Recruiting agency
Anyhr.io | Presentation HR&Recruiting agencyAnyhr.io | Presentation HR&Recruiting agency
Anyhr.io | Presentation HR&Recruiting agency
 
Tata Kelola Bisnis perushaan yang bergerak
Tata Kelola Bisnis perushaan yang bergerakTata Kelola Bisnis perushaan yang bergerak
Tata Kelola Bisnis perushaan yang bergerak
 
Mihir Menda - Member of Supervisory Board at RMZ
Mihir Menda - Member of Supervisory Board at RMZMihir Menda - Member of Supervisory Board at RMZ
Mihir Menda - Member of Supervisory Board at RMZ
 
Borderless Access - Global Panel book-unlock 2024
Borderless Access - Global Panel book-unlock 2024Borderless Access - Global Panel book-unlock 2024
Borderless Access - Global Panel book-unlock 2024
 
PDT 88 - 4 million seed - Seed - Protecto.pdf
PDT 88 - 4 million seed - Seed - Protecto.pdfPDT 88 - 4 million seed - Seed - Protecto.pdf
PDT 88 - 4 million seed - Seed - Protecto.pdf
 
Upgrade Your Banking Experience with Advanced Core Banking Applications
Upgrade Your Banking Experience with Advanced Core Banking ApplicationsUpgrade Your Banking Experience with Advanced Core Banking Applications
Upgrade Your Banking Experience with Advanced Core Banking Applications
 
Talent Management research intelligence_13 paradigm shifts_20 March 2024.pdf
Talent Management research intelligence_13 paradigm shifts_20 March 2024.pdfTalent Management research intelligence_13 paradigm shifts_20 March 2024.pdf
Talent Management research intelligence_13 paradigm shifts_20 March 2024.pdf
 
AMAZON SELLER VIRTUAL ASSISTANT PRODUCT RESEARCH .pdf
AMAZON SELLER VIRTUAL ASSISTANT PRODUCT RESEARCH .pdfAMAZON SELLER VIRTUAL ASSISTANT PRODUCT RESEARCH .pdf
AMAZON SELLER VIRTUAL ASSISTANT PRODUCT RESEARCH .pdf
 
UNLEASHING THE POWER OF PROGRAMMATIC ADVERTISING
UNLEASHING THE POWER OF PROGRAMMATIC ADVERTISINGUNLEASHING THE POWER OF PROGRAMMATIC ADVERTISING
UNLEASHING THE POWER OF PROGRAMMATIC ADVERTISING
 
Project Brief & Information Architecture Report
Project Brief & Information Architecture ReportProject Brief & Information Architecture Report
Project Brief & Information Architecture Report
 
Harvard Business Review.pptx | Navigating Labor Unrest (March-April 2024)
Harvard Business Review.pptx | Navigating Labor Unrest (March-April 2024)Harvard Business Review.pptx | Navigating Labor Unrest (March-April 2024)
Harvard Business Review.pptx | Navigating Labor Unrest (March-April 2024)
 
Michael Vidyakin: Introduction to PMO (UA)
Michael Vidyakin: Introduction to PMO (UA)Michael Vidyakin: Introduction to PMO (UA)
Michael Vidyakin: Introduction to PMO (UA)
 

Microsoft - Volatility modeling and analysis