Tag: performanceanalytics

COMPOSITE MACRO ETF WEEKLY ANALYTICS (11/07/2015)
Global MarketsPython

COMPOSITE MACRO ETF WEEKLY ANALYTICS (11/07/2015)

NEW LAYOUT: Composite ETF Cumulative Returns Momentum Bar plot and associated Tables Composite ETF Cumulative Returns Line plot Composite ETF Risk-Adjusted Returns Scatter plot (Std vs Mean) Composite ETF Risk-Adjusted Return Correlations Heatmap (Clusterplot) YEAR-TO-DATE LAST 222 TRADING DAYS Click here for help understanding this Chart Click here for help understanding this Chart Click here for help understanding this Chart Click here for help understanding this Chart LAST 63

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COMPOSITE MACRO ETF WEEKLY ANALYTICS (10/31/2015)
Global MarketsPython

COMPOSITE MACRO ETF WEEKLY ANALYTICS (10/31/2015)

NEW LAYOUT: Going forward I will be testing a new organizational format for the charts. I have created a chart description page which details how each plot type is commonly interpreted (used). I will provide a link to the chart description page in the caption of each chart. The primary change is all the chart types will be grouped by the referenced time period. It is my hope that grouping the data this way will allow for easier analysis. Each time period grouping will display the charts in the

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COMPOSITE MACRO ETF WEEKLY ANALYTICS (10/25/2015)
Global MarketsPython

COMPOSITE MACRO ETF WEEKLY ANALYTICS (10/25/2015)

COMPOSITE ETF CUMULATIVE RETURN MOMENTUM These charts show the sum (cumulative) of the daily returns of each composite ETF over the specified period. The daily return is calculated as the log of the percent change between daily adjusted close prices. These charts help determine asset class return momentum. This is important because momentum is arguably the strongest and most persistent market anomaly. Poorly performing asset classes are likely to continue under performing while outperforming a

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Global MarketsPython

COMPOSITE MACRO ETF WEEKLY ANALYTICS (10/18/2015)

COMPOSITE ETF CUMULATIVE RETURN MOMENTUM These charts show the sum (cumulative) of the daily returns of each composite ETF over the specified period. The daily return is calculated as the log of the percent change between daily adjusted close prices. These charts help determine asset class return momentum. This is important because momentum is arguably the strongest and most persistent market anomaly. Poorly performing asset classes are likely to continue under performing while outperforming a

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Global MarketsPython

COMPOSITE MACRO ETF WEEKLY ANALYTICS (10/10/2015)

COMPOSITE ETF CUMULATIVE RETURN MOMENTUM These charts show the sum (cumulative) of the daily returns of each composite ETF over the specified period. The daily return is calculated as the log of the percent change between daily adjusted close prices. These charts help determine asset class return momentum. This is important because momentum is arguably the strongest and most persistent market anomaly. Poorly performing asset classes are likely to continue under performing while outperforming a

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Global MarketsPython

COMPOSITE MACRO ETF WEEKLY ANALYTICS (10/04/2015)

COMPOSITE ETF CUMULATIVE RETURN MOMENTUM These charts show the sum (cumulative) of the daily returns of each composite ETF over the specified period. The daily return is calculated as the log of the percent change between daily adjusted close prices. These charts help determine asset class return momentum. This is important because momentum is arguably the strongest and most persistent market anomaly. Poorly performing asset classes are likely to continue under performing while outperforming a

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Global MarketsPython

COMPOSITE MACRO ETF WEEKLY ANALYTICS (9/28/2015)

COMPOSITE ETF CUMULATIVE RETURN MOMENTUM These charts show the sum (cumulative) of the daily returns of each composite ETF over the specified period. The daily return is calculated as the log of the percent change between daily adjusted close prices. These charts help determine asset class return momentum. This is important because momentum is arguably the strongest and most persistent market anomaly. Poorly performing asset classes are likely to continue under performing while outperforming a

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EducationEquity Analysis

Guest Post Previously Featured on RectitudeMarket.com (09/02/2015)

**Note: This post already appeared as a guest post on rectitudemarket.com. The reason I'm posting this article when it is 'outdated', is twofold. 1) I think it's beneficial to review previous works especially when one has the benefit of hindsight. This helps us determine the accuracy and bias of the research presented. 2) I further introduce the concept of conditional cumulative returns, which adds insight to what happens to our securities' returns given some other event occurring. In this case,

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Global MarketsPython

COMPOSITE MACRO ETF WEEKLY ANALYTICS (9/20/2015)

COMPOSITE ETF CUMULATIVE RETURN MOMENTUM These charts show the sum (cumulative) of the daily returns of each composite ETF over the specified period. The daily return is calculated as the log of the percent change between daily adjusted close prices. These charts help determine asset class return momentum. This is important because momentum is arguably the strongest and most persistent market anomaly. Poorly performing asset classes are likely to continue under performing while outperforming a

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Global MarketsPython

COMPOSITE MACRO ETF WEEKLY ANALYTICS (9/14/2015)

COMPOSITE ETF CUMULATIVE RETURN MOMENTUM These charts show the sum (cumulative) of the daily returns of each composite ETF over the specified period. The daily return is calculated as the log of the percent change between daily adjusted close prices. These charts help determine asset class return momentum. This is important because momentum is arguably the strongest and most persistent market anomaly. Poorly performing asset classes are likely to continue under performing while outperforming a

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Composite Macro ETF Weekly Analytics (8/30/2015)
Global MarketsQuant

Composite Macro ETF Weekly Analytics (8/30/2015)

COMPOSITE ETF CUMULATIVE RETURN MOMENTUM These charts show the sum (cumulative) of the daily returns of each composite ETF over the specified period. The daily return is calculated as the log of the percent change between daily adjusted close prices. These charts help determine asset class return momentum. This is important because momentum is arguably the strongest and most persistent market anomaly. Poorly performing asset classes are likely to continue under performing while outperforming a

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COMPOSITE MACRO ETF CUMULATIVE RETURN MOMENTUM (08.23.2015)
PythonQuant

COMPOSITE MACRO ETF CUMULATIVE RETURN MOMENTUM (08.23.2015)

Here is the updated list of composite ETF components. LAST 1260 TRADING DAYS (5 YEARS) Source: Yahoo Finance LAST 504 TRADING DAYS (2 YEARS) Source: Yahoo Finance LAST 252 TRADING DAYS (1 YEAR) Source: Yahoo Finance LAST 126 TRADING DAYS (6 MONTHS) Source: Yahoo Finance LAST 63 TRADING DAYS (3 MONTHS) Source: Yahoo Finance LAST 21 TRADING DAYS (1 MONTH) Source: Yahoo Finance LAST 10 TRADING DAYS Source: Yahoo Finance Blog RSS #block-yui_3_17_2_2_1440420671029_16964 .social-i

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Is Trading the FED's POMO Schedule Profitable?
QuantFED

Is Trading the FED's POMO Schedule Profitable?

I often consider the market's distortions that are or can be created by its participants. Arguably, the most important market player is the Federal Reserve. For years the FED as been injecting liquidity into the financial system through its Permanent Open Market Operations (POMO). I'm not going to delve into the purpose of these multibillion dollar transactions as others have covered this extensively. Instead I ask a simple question. The FED makes their tentative POMO schedule public beforehand.

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