Publications by Daniel Lee
Code Along 8
# Load packages # Core library(tidyverse) library(tidyquant) Goal Collect individual returns into a portfolio by assigning a weight to each stock five stocks: “SPY”, “EFA”, “IJS”, “EEM”, “AGG” from 2012-12-31 to 2017-12-31 1 Import stock prices symbols <- c("SPY", "EFA", "IJS", "EEM", "AGG") prices <- tq_get(x = symbols, ...
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Best Practice 8
Chater Openning Questions A manager needs to: As a manger it is important to monitor foreign markets. Even though the correlation is not perfect, howver, it is important to monitor foriegn exchanrate rate risk as well Summary For a major industrialized country, the monitoring system would closely resemble that used in the United States with an a...
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Best Practice 9
Chapter Opening Questions A business manager, to assess the risk of a regional recession, needs to monitor the national economic stipple, the stipple of the most important industries in the state, as well as the internal growth cycle. Summary Although a regional economic cycle is not perfectly synchronized with its national counterpart, it tends...
5497 sym 1 tbl
Code Along 9
# Load packages # Core library(tidyverse) library(tidyquant) Goal Collect individual returns into a portfolio by assigning a weight to each stock five stocks: “SPY”, “EFA”, “IJS”, “EEM”, “AGG” from 2012-12-31 to 2017-12-31 1 Import stock prices symbols <- c("SPY", "EFA", "IJS", "EEM", "AGG") prices <- tq_get(x = symbols, ...
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Apply 9
# Load packages # Core library(tidyverse) library(tidyquant) Goal Visualize and examine changes in the underlying trend in the performance of your portfolio in terms of Sharpe Ratio. Choose your stocks. from 2012-12-31 to present 1 Import stock prices symbols <- c("ETSY", "AMZN", "ACL", "AMD", "NVDA") prices <- tq_get(x = symbols, ...
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Best Practice 10
Chapter Opening Questions A business manager in a capital-intensive industry needs to monitor its own industry cycles because they routinely experience a cycle of over investment. Leading to large swings in profit. Summary Capital-intensive companies are extraordinarily vulnerable to overbuilding during times of financial promise. This means the...
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Code Along 10
# Load packages # Core library(tidyverse) library(tidyquant) Goal Collect individual returns into a portfolio by assigning a weight to each stock five stocks: “SPY”, “EFA”, “IJS”, “EEM”, “AGG” from 2012-12-31 to 2017-12-31 1 Import stock prices symbols <- c("SPY", "EFA", "IJS", "EEM", "AGG") prices <- tq_get(x = symbols, ...
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Throw away
Economic Dashboard Location Quotient https://www.analyticsforeconomics.com/ Your interpretation Examine the chart above and answer the following questions in at least 200 words. What is the status of New Hampshire’s economy now? Is it in a recession? Is a recession around the corner? How similar is New Hampshire’s economy to its U.S. count...
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Application 9
Economic Dashboard Location Quotient https://www.analyticsforeconomics.com/ Your interpretation Examine the chart above and answer the following questions in at least 200 words. What is the status of New Hampshire’s economy now? Is it in a recession? Is a recession around the corner? How similar is New Hampshire’s economy to its U.S. count...
2445 sym 1 tbl
Apply 10
# Load packages # Core library(tidyverse) library(tidyquant) Goal Calculate and visualize your portfolio’s beta. Choose your stocks and the baseline market. from 2012-12-31 to present 1 Import stock prices symbols <- c("ETSY", "AMZN", "ACL", "AMD", "NVDA") prices <- tq_get(x = symbols, get = "stock.prices", ...
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