Answer:
research four other examples of inferior goods.
There are many examples of inferior goods. Inferior goods are al those goods whose demand rises in times of economic recession. Some examples are:
Cheap food substitutes like supermarket coffee, instantaneous ramen, or canned vegetables.
Cheap clothes.
Flights in low-cost airlines.
Consider the impact of economic recessions and expansions on normal goods.
Economic recessions impact normal goods negatively because people have less income to spend, and they opt to substitute the normal goods for inferior goods.
discuss how revenues of inferior goods producers are expected to be affected by economic recessions and expansions.
In economic recessions, revenues for producers of inferior goods are expected to rise because demand for inferior goods grows. However, because inferior goods are precisely cheaper, this does not necessarily mean that every inferior good producer will make a lot of money.
In economic expansions, revenues for producers of inferior goods will fall, because people, with more income, will flock to normal goods or even luxury goods.
A data warehouse is an integrated collection of data that can include seemingly unrelated information, no matter where it is stored in the company.
An enterprise data warehouse (EDW), sometimes referred to as a data warehouse (DW or DWH) in computing, is a system used for reporting and data analysis and is regarded as a key element of business intelligence.
data warehouse DWs serve as a central repository for combined data from a variety of sources.
They keep both recent and old data in a single location that is utilized to provide analytical reports for employees across the whole company.
The operational systems upload the data that is kept in the warehouse (such as marketing or sales).
Before being used in the data warehouse for reporting, the data may go via operational data storage and require data cleansing for extra activities to ensure data quality.
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Answer:
D) Stock prices of companies that announce increased earning in January tend to outperform the market in February.
Explanation:
The above is consistent with the Efficient Market Hypothesis. All others are a direct contravention.
<em>The efficient market hypothesis (EMH), also known as the efficient market theory, is a hypothesis that states that the prices of shares contain all information and that consistent alpha generation is impossible.</em>
According to the hypothesis, stocks always trade at their fair value on exchanges, making it impossible for investors to purchase undervalued stocks or sell stocks for inflated prices.
This means that it should not be possible to outperform the overall market through professional stock selection or market timing.
The only way according to EMH that an investor can obtain better returns is by purchasing riskier investments.
By implication, this also means that it is not possible to "beat the market" consistently on a risk-adjusted basis since market prices should only react to new information.
You would note that in the option D, earning (which is a key driver for demand of stock) is announced in one month. The natural reaction would be for the demand for that stock to surge in the next month.
The selling price per hat is mathematically given as
S=$62
<h3>What is t
he selling price per hat?</h3>
Direct labor hours required to produce first 100 hats=10hr
Direct labour cost =20hr*60$/hour = $1200
Other Direct cost =100hats*19$/hat = $1900
Total Direct cost. = $3100
Selling price is 200% of Direct production cost
$3100*200% = $6200
The selling price per hat = $6200 / 100hats
The selling price per hat = $62
In conclusion, The selling price per hat = $62
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