Swegi Gonbup is on WIX, now.
Thank you.
Thursday, September 19, 2019
Wednesday, July 31, 2019
Thursday, June 27, 2019
American Product Trade Growth
Charts are all in favor of American product trade growth.
"The total return indexes for the S&P 500 Index, U.S. investment-grade corporate bonds, high-yield debt, and sovereign and quasi-sovereign debt have risen to record levels in the wake of the Federal Reserve's signal. It stands ready to lower interest rates for the first time in over a decade (bloomberg.com)"
The TOTAL RETURN INDEX is an equity index. The total return index for the Standard & Poor's 500 Index, which is a market-capitalization-weighted index of the 500 largest U.S. publicly traded companies, tracks group stock capital gains. There is an assumation that any cash distributions are reinvested back into the index. It indicates the activity, or growth, of the index. Investopedia.com
U.S. INVESTMENT GRADE CORPORATE BONDS have a low risk of default. Standard & Poor's bond ratings use designations consisting of upper- and lower-case letters 'A' and 'B' to identify a bond's credible quality rating. 'AAA' and 'AA' (high credit quality) and 'A' and 'BBB' (medium credit quality) are considered investment grade. Credit rating for bonds below these designations ('BB', 'B', 'CCC', etc.) are considered low credit quality, and are commonly referred to as junk bonds.
HIGH-YIELD DEBT has a high risk to default. SOVEREIGN DEBT is a central government's debt. Sovereign debt is issued by the national government in a foreign currency. This is in order to finance the issuing country's growth and development. The stability of the issuing government can be provided by the country's sovereign credit ratings which help investors weigh risks when assessing sovereign debt investments. Sovereign debt is also called government debt, public debt, or national debt.
QUASI-SOVEREIGN DEBT is credit issued by corporates that are essentially government-backed or government owned.
When the Federal Reserve Bank lowers interest rates Federal funds are reduced. Reducing the federal funds rate makes money cheaper. This allows an influx of credit into the economy through a wide variety of loans.
All of these movements are pushing toward a better economic environment for the United States. "President Donald Trump has pushed the issue to the forefront, proclaiming that his government will have two major economic goals http://www.businessinsider.com/what-does-made-in-usa-actually-mean-2017-2."
Currently, a huge gap between import and export is a still an issue. In 2018, total U.S. trade with foreign countries was $5.6 trillion. That was $2.5 trillion in exports and $3.1 trillion in imports of both goods and services. The United States was the world's third-largest exporter, after China and the European Union.https://www.thebalance.com/u-s-imports-and-exports-components-and-statistics-3306270
The import and export margin will even out. We need more brands and retailers that sell merchandise 100% made in the USA https://clark.com/shopping-retail/american-made-in-the-usa/.
The American economic environment is favorable.
Thursday, May 9, 2019
A.i., Machine learning, and Deep learning
We are all very close to Artificial intelligence. A.i. is used in movies, video games, online searches, and chat services. A.i. is all around us. (https://ai.google)
A.i. is in a bowl with deep learning and machine learning.
A.i. functions together with machine learning and deep learning. For example, they're uniform in spam recognition. A.i. initiates a watch on the suspected spam. Machine learning accurately tags the spam. Deep learning is the help chat bot that will discuss the effects of the spam.
A.i. learning is reactive. This type of learning has a relatively limited memory. A.i. learning possesses theory of mind, and self awareness.
Machine learning is the result of lightly supervised learning. Machine learning can be initiated from unsupervised learning, too. Machine learning has to be reinforced in the end of the process.
Deep learning is mostly decision making which requires large amounts of training data. The data has to emerge from high end systems. Deep learning is from provided data with end to end solving. "Deep Learning (DL) uses layers of algorithms to process data, understand human speech, and visually recognize objects. Information is passed through each layer, with the output of the previous layer providing input for the next layer. The first layer in a network is called the input layer, while the last is called an output layer. All the layers between the two are referred to as hidden layers. Each layer is typically a simple, uniform algorithm containing one kind of activation function(https://www.dataversity.net/)."
These systematic algorithms will play increasingly important roles in the future. A.i. will be able to predict crimes before they happen. There will be humanoid A.i. helpers. Machine learning is going to be a major part of increased healthcare efficiency. Machine learning will spawn better learning techniques. Deep learning will give us increased personalization, and hyper intelligent personal assistants.
These algorithms cannot match the true complexity of a neuron, in the human nervous system, but that is the goal. Growth of A.i., machine learning, and deep learning will be very interesting.
Saturday, March 9, 2019
UBER I.P.O.
Uber ride share is popular. Soon, you will be able to invest and become popular, too. Become part of an IPO.
IPOs are the very first sales of stocks issued by a company to the public.
Uber was founded, and has been private since 2009. Uber has been funded via the founders, friends, and professional investors. Early investors, venture capitalists, and angel investors. An IPO will provide an opportunity for the taxi service to expose itself to public stock trading.
Uber- "What did you say?"
Open up your app. Become a rider. From a rider perspective, Uber is an inexpensive rideshare service. Modern day convenience lends you to private driver services toward your destination of choice. A nearby driver arrives to pick you up within minutes. The entire transaction is convenient and online.
Wash your car. Go online. From a driver perspective-
Uber is the rideshare service which enables you to be your own boss. It provides exceptional pay, and tips are a plus. UBER.COM
Uber would prefer to go public in a positive, stable market. CRUNCHBASE.COM
Uber completely scheduled its IPO. Tech stocks have consistently climaxed toward their expectations. Uber is in line and getting ready to ride the stock-roller-coaster.
The company is reportedly planning on going public in the second half of the year. What can we expect from an Uber IPO? Details are exiguous. The ridesharing company could go public on a $120 billion valuation.
IPO Valuation-
An IPO valuation is based on income, book value of equity, sales, research/development, industry price-to-sales ratios, inside retention, investment banker prestige, and price-to-earnings ratios. CORPORATEFINANCEINSTITUTION.COM
These are steps a company must undertake to go public via an IPO process:
Select a bank
Due diligence and filings
Pricing
Stabilization
Transition
Critics have have accepted Uber as is, but the net worth, founded through a variety of valuations from around the cyber world, has not been. FORBES.COM
Ridesharing company Uber is one of the world's most valuable startups. It's driven by soaring revenue growth and expansion. Untapped expansions into new markets.
In one analysis, Uber's value was estimated to be $120 billion. $120 billion was gauged using key revenue tactics, including:
Monthly Active Riders (No. of riders who request a ride at least once a month)
Number of Rides Per User (Annual)
Gross Revenue Per Ride (Total fare per ride in driver, before Uber )
Net Revenues ( Revenues recognized by Uber after driver earnings, incentives, promos, refunds)
Uber’s monthly active riders base grew from 50 million in 2016 to 75 million in 2017, with the number of rides called by each rider also trending higher. We expect monthly active rider growth to remain strong in 2018, as Uber doubles down on emerging markets, taking total rides delivered to around 5.25 billion for 2018 and over 6 billion in 2019. The bull case assumes that monthly active riders over 2019 will rise to 125 million, with the number of rides per rider growing to 60.
We expect the company’s gross revenue per ride, which is the total value of the rides billed to customers before Uber takes its share, to remain at levels of around $9 over 2018 and 2019. We forecast its total gross revenue – which is total rides multiplied by gross revenue per ride – to rise to $47 billion and $56 billion, respectively, in 2018 and 2019. Our bull case assumes that gross revenue per rider rises to $10.
Uber’s net revenue, which is the share that the company takes from gross revenues, declined in 2017. However, the company has been cutting back on driver incentives and the promotions it offers to customers, as it looks to improve its net revenues. We expect the company’s take rate to rise to 23.5% in 2018 and 25% in 2019, translating into net revenue of about $11 billion in 2018 and $14 billion in 2019. Our bull case assumes that the company’s share of revenue rises to 30% in 2019.
Investing in IPOs is a good idea. To invest in every single IPO is not. After all, the course of every single IPO is different. Initial Public Offerings present a convenient platform. This is an opportunity to team up with Uber. Make an entry into the market with rates at low level.
Monday, February 11, 2019
Monday, January 7, 2019
Cancer research update
Cancer research is a field based solely upon the eradication of the lethal disease that has plagued humanity. Scientists have to discover techniques to manage cancerous gene changes. Those mutated messages can cause cells to evade normal growth controls and become cancer.
Some recent movements in the world of cancer research include:
Immunotherapy-
checkpoint inhibitors
monoclonal antibodies
adoptive cell transfer
immune system modulator
cancer vaccinnes
Gene based treatments -
Diagnose the cancer
Predict your outcome
Determine which drug or other treatment will work best on the cancer
See how well the treatment is working
Currently, the more effective between the two could argueably be immunotherapy. It is also called biological therapy. It is defined as a cancer treatment that raises cancer immunity utilizing substances made in vitro.
Immunotherapy works by:
Stopping or slowing the growth of cancer cells
Stopping cancer from spreading to other parts of the body
Helping the immune system work better at destroying cancer cells
Recent cancer research abstract-
"Lymphocyte-activation gene 3 (LAG-3) is an immune inhibitory receptor, with major histocompatibility complex class II (MHC-II) as a canonical ligand. However, it remains controversial whether MHC-II is solely responsible for the inhibitory function of LAG-3. Here, we demonstrate that fibrinogen-like protein 1 (FGL1), a liver-secreted protein, is a major LAG-3 functional ligand independent from MHC-II. FGL1 inhibits antigen-specific T cell activation, and ablation of FGL1 in mice promotes T cell immunity. Blockade of the FGL1-LAG-3 interaction by monoclonal antibodies stimulates tumor immunity and is therapeutic against established mouse tumors in a receptor-ligand inter-dependent manner. FGL1 is highly produced by human cancer cells, and elevated FGL1 in the plasma of cancer patients is associated with a poor prognosis and resistance to anti-PD-1/B7-H1 therapy. Our findings reveal an immune evasion mechanism and have implications for the design of cancer immunotherapy."(https://www.ncbi.nlm.nih.gov/pubmed/30580966/)
These findings could be an effective template for another successful basis of cancer combative immunotheraphy.
Cancer Research scientists are studying new treatments based on gene changes in cancer cells. These studies could lead to even more targeted immunotherapies and gene therapies in the future.
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