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How Inflation Impacts Penny Stocks and the Stock Market 

Use these tips for trading penny stocks with high inflation
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3 Ways That Inflation Impacts Investing in Penny Stocks

When it comes to trading penny stocks, investors need to know everything that is going on in the stock market. Inflation is a huge factor when it comes to penny stocks, especially in the past few months. When inflation rates are high, stocks become more expensive, and this can have a negative impact on the stock market. 

In order to make money with penny stocks, investors need to be aware of how inflation impacts the stock market so they can make the necessary adjustments to their investment. Now, while inflation is always a factor, over the last year or so, this has been dramatized due to the effects of the pandemic. And more recently, we have begun to see some positivity regarding inflation. 

[Read More] Best Penny Stocks To Buy? 4 EV Stocks To Watch Thanks To TSLA Stock

So, while we are in no way out of the woods yet, we have seen that inflation is the main contributor to market movement in the past couple of months. As a result, stocks have become more expensive, but we are seeing some relief from the inflation rates.

This is good news for investors, and it is something to keep an eye on in the coming months as we continue to see the effects of the pandemic play out. Considering all of this, let’s take a closer look at how inflation could continue to impact penny stocks moving forward.

3 Ways That Inflation Could Impact Penny Stocks

  1. Higher Volatility Than Usual
  2. Cheaper Penny Stocks to Buy
  3. Long Term Value

Higher Volatility Than Usual

We all know that volatility with penny stocks and blue chips has been higher than usual in the past few months. And, when we look at the reasons behind it, inflation is one of the key drivers.

What is inflation? It’s simply a sustained increase in the price level of goods and services in an economy. And while a little bit of inflation is actually good for stocks (it boosts company profits), too much inflation can lead to problems.

Why does inflation cause more volatility in stocks? Well, when inflation is higher than expected, it can lead to concerns about future economic growth. This can cause investors to sell stocks and move into investments that are perceived as being safer. This selling can lead to increased volatility in the stock market. In addition, we have movement due to panic selling and buying, which can exacerbate the problem.

[Read More] Best Penny Stocks to Buy As Inflation Drops, 3 to Watch 

So what can investors do to protect themselves from inflation-induced volatility? First, it’s important to keep a close eye on inflation data. If inflation is rising faster than expected, it may be time to take a closer look at your portfolio and make sure that you’re not too exposed to stocks.

Second, don’t forget that stocks are not the only investment option out there. There are plenty of other options, such as bonds and real estate, that can provide diversification and help protect your portfolio from inflation-induced volatility.

Cheaper Penny Stocks to Buy

When it comes to finding penny stocks to buy, inflation can lead to losses in the stock market. This means that many penny stocks can be bought up for less money, but they may not be worth as much when it comes to future earnings. Inflation can also make stocks harder to sell, since their prices are lower than what they were purchased for.

This can be frustrating for investors who are trying to make a profit in the stock market. Now, in the short term, these low values mean that stocks may be a good investment. However, over the long term, it is critical to see what happens with this value and whether or not it can be maintained. So, while finding cheap penny stocks to buy is more than doable, always remember the length of your investment goal.

Long Term Value

With many penny stocks trading at low prices, inflation can cause the stocks to go up in value over the long term. Inflation is often thought of as something that devalues money, and in a sense, it does. But inflation can also have a positive effect on stocks and other investments.

penny stocks value

For example, let’s say you buy a stock for $1 per share. Inflation rises, and the next year, the same stock is selling for $2 per share. The purchasing power of your dollar has decreased, but the value of your stocks has doubled. In this way, inflation can create long-term value in the stock market.

Of course, inflation is not the only factor that affects stocks. The overall performance of the stock market is also influenced by economic conditions, company earnings, and many other factors. However, over the long term, inflation can have a positive effect on penny stocks if you understand where that value is.

3 Penny Stocks to Watch This Coming Week

  1. Aquestive Therapeutics Inc. (NASDAQ: AQST)
  2. Edgio Inc. (NASDAQ: EGIO)
  3. Comstock Inc. (NYSE: LODE)

Which Penny Stocks Are You Watching Right Now?

If you’re looking for penny stocks to buy, there are hundreds to choose from. But how do you know which penny stocks are worth your investment? There are a few things to look for when considering penny stocks. The first thing to consider is what your trading strategy is and how to take advantage of penny stocks. 

[Read More] 5 Top Penny Stocks To Watch Today With High Short Interest

Are you looking for stocks that are undervalued and have the potential to make a quick profit? Or are you looking to hold onto stocks for the long haul? While it is not easy to trade penny stocks, it can be much simpler with the right information on hand. Considering that, which penny stocks are you watching right now?

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The post How Inflation Impacts Penny Stocks and the Stock Market  appeared first on Penny Stocks to Buy, Picks, News and Information | PennyStocks.com.

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New research reveals gut microbiota link to colitis: intestinal epithelial axin1 deficiency offers protective effects

A groundbreaking study conducted by Jun Sun’s research team at the University of Illinois Chicago has revealed a new and critical role of Axin1 in regulating…

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A groundbreaking study conducted by Jun Sun’s research team at the University of Illinois Chicago has revealed a new and critical role of Axin1 in regulating intestinal epithelial development and microbial homeostasis. The research, published in the journal Engineering, highlights the potential therapeutic strategies for human inflammatory bowel disease (IBD).

Credit: Shari Garrett et al.

A groundbreaking study conducted by Jun Sun’s research team at the University of Illinois Chicago has revealed a new and critical role of Axin1 in regulating intestinal epithelial development and microbial homeostasis. The research, published in the journal Engineering, highlights the potential therapeutic strategies for human inflammatory bowel disease (IBD).

IBD, a chronic inflammatory disorder affecting the gastrointestinal tract, has been a significant health concern worldwide. The study focused on understanding the role of Axin1, a negative regulator of Wnt/β-catenin signaling, in maintaining gut homeostasis and host response to inflammation.

The research team analyzed Axin1 expression in human inflammatory bowel disease datasets and found increased Axin1 expression in the colonic epithelium of IBD patients. To further investigate the effects and mechanism of intestinal Axin1 in regulating intestinal homeostasis and colitis, the team generated new mouse models with Axin1 conditional knockout in intestinal epithelial cells (Axin1ΔIEC) and Paneth cells (Axin1ΔPC).

The results showed that Axin1ΔIEC mice exhibited altered goblet cell spatial distribution, Paneth cell morphology, reduced lysozyme expression, and an enriched presence of Akkermansia muciniphila (A. muciniphila) in the gut microbiota. Importantly, the absence of intestinal epithelial and Paneth cell Axin1 led to decreased susceptibility to dextran sulfate sodium-induced colitis in vivo.

Furthermore, when Axin1ΔIEC and Axin1ΔPC mice were cohoused with control mice, they became more susceptible to dextran sulfate sodium (DSS)-colitis, suggesting the protective role of Axin1 in the presence of a healthy gut microbiota. Treatment with A. muciniphila further reduced the severity of DSS-colitis, highlighting its potential as a therapeutic target.

Interestingly, antibiotic treatment did not change the proliferation of intestinal epithelial cells in the control mice. However, in Axin1ΔIEC mice with antibiotic treatment, the intestinal proliferative cells were significantly reduced, indicating the non-colitogenic effects driven by the gut microbiome.

These findings demonstrate the novel role of Axin1 in mediating intestinal homeostasis and the microbiota. The loss of intestinal Axin1 protects against colitis, likely through the regulation of epithelial Axin1 and Axin1-associated A. muciniphila. Further mechanistic studies using specific Axin1 mutations will be crucial in elucidating how Axin1 modulates the microbiome and host inflammatory response, paving the way for new therapeutic strategies for human IBD.

Jiaming Wu, editor of the subject of medicine and health of Engineering, commented, “This study provides valuable insights into the development of inflammatory bowel disease and offers potential therapeutic strategies for its treatment. By understanding the intricate interactions between Axin1, the gut microbiota, and host immunity, researchers can develop targeted interventions to restore intestinal homeostasis and alleviate the symptoms of IBD.”

The research team’s findings have significant implications for the field of gastroenterology and hold promise for the development of novel treatments for IBD. As further studies are conducted, the scientific community eagerly awaits the potential therapeutic breakthroughs that may arise from this research.

The paper “Profiling the Antimalarial Mechanism of Artemisinin by Identifying Crucial Target Proteins”, authored by Shari Garrett, Yongguo Zhang, Yinglin Xia, Jun Sun. Full text of the open access paper: https://doi.org/10.1016/j.eng.2023.06.007. For more information about the Engineering, follow us on Twitter (https://twitter.com/EngineeringJrnl) & like us on Facebook (https://www.facebook.com/EngineeringPortfolio).

 

About Engineering

Engineering (ISSN: 2095-8099 IF:12.8) is an international open-access journal that was launched by the Chinese Academy of Engineering (CAE) in 2015. Its aims are to provide a high-level platform where cutting-edge advancements in engineering R&D, current major research outputs, and key achievements can be disseminated and shared; to report progress in engineering science, discuss hot topics, areas of interest, challenges, and prospects in engineering development, and consider human and environmental well-being and ethics in engineering; to encourage engineering breakthroughs and innovations that are of profound economic and social importance, enabling them to reach advanced international standards and to become a new productive force, and thereby changing the world, benefiting humanity, and creating a new future.


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New findings on hair loss in men

A receding hairline, a total loss of hair from the crown, and ultimately, the classical horseshoe-shaped pattern of baldness: Previous research into male…

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A receding hairline, a total loss of hair from the crown, and ultimately, the classical horseshoe-shaped pattern of baldness: Previous research into male pattern hair loss, also termed androgenetic alopecia, has implicated multiple common genetic variants. Human geneticists from the University Hospital of Bonn (UKB) and by the Transdisciplinary Research Unit “Life & Health” of the University of Bonn have now performed a systematic investigation of the extent to which rare genetic variants may also contribute to this disorder. For this purpose, they analyzed the genetic sequences of 72,469 male participants from the UK Biobank project. The analyses identified five significantly associated genes, and further corroborated genes implicated in previous research. The results have now been published in the prestigious scientific journal Nature Communications.

Credit: University Hospital Bonn / Katharina Wislsperger

A receding hairline, a total loss of hair from the crown, and ultimately, the classical horseshoe-shaped pattern of baldness: Previous research into male pattern hair loss, also termed androgenetic alopecia, has implicated multiple common genetic variants. Human geneticists from the University Hospital of Bonn (UKB) and by the Transdisciplinary Research Unit “Life & Health” of the University of Bonn have now performed a systematic investigation of the extent to which rare genetic variants may also contribute to this disorder. For this purpose, they analyzed the genetic sequences of 72,469 male participants from the UK Biobank project. The analyses identified five significantly associated genes, and further corroborated genes implicated in previous research. The results have now been published in the prestigious scientific journal Nature Communications.

Male-pattern hair loss is the most common form of hair loss in men, and is largely attributable to hereditary factors. Current treatment options and risk prediction are suboptimal, thus necessitating research into the genetic underpinnings of the condition. To date, studies worldwide have focused primarily on common genetic variants, and have implicated more than 350 genetic loci, in particular the androgen receptor gene, which is located on the maternally inherited X chromosome. In contrast, the contribution to this common condition of rare genetic variants has traditionally been assumed to be low. However, systematic analyses of rare variants have been lacking. “Such analyses are more challenging as they require large cohorts, and the genetic sequences must be captured base by base, e.g., through genome or exome sequencing of affected individuals,” explained first author Sabrina Henne, who is a doctoral student at the Institute of Human Genetics at the UKB and the University of Bonn. The statistical challenge lies in the fact that these rare genetic variants may be carried by very few, or even single, individuals. “That is why we apply gene-based analyses that first collapse variants on the basis of the genes in which they are located,” explained corresponding author PD Dr. Stefanie Heilmann-Heimbach, who is a research group leader at the Institute of Human Genetics at the UKB at the University of Bonn. Among other methods, the Bonn researchers used a type of sequence kernel association test (SKAT), which is a popular method for detecting associations with rare variants, as well as GenRisk, which is a method developed at the Institute of Genomic Statistics and Bioinformatics (IGSB) at the UKB and the University of Bonn.

Possible relevance of rare variants in male-pattern hair loss

The research involved the analysis of genetic sequences from 72,469 male UK Biobank participants. Within this extensive data set, Bonn geneticists, together with researchers from the IGSB and the Center for Human Genetics at the University Hospital Marburg, examined rare gene variants that occur in less than one percent of the population. Using modern bioinformatic and statistical methods, they found associations between male-pattern hair loss and rare genetic variants in the following five genes: EDA2R, WNT10A, HEPH, CEPT1, and EIF3F.

Prior to the analyses, EDA2R and WNT10A were already considered candidate genes, as based on previous analyses of common variants. “Our study provides further evidence that these two genes play a role, and that this occurs through both common and rare variants,” explained Dr. Stefanie Heilmann-Heimbach. Similarly, HEPH is located in a genetic region that has already been implicated by common variants, namely the EDA2R/Androgen receptor, which is a region that has consistently shown the strongest association with male-pattern hair loss in past association studies. “However, HEPH itself has never been considered as a candidate gene. Our study suggests that it may also play a role,” explained Sabrina Henne. “The genes CEPT1 and EIF3F are located in genetic regions that have not yet been associated with male-pattern hair loss. They are thus entirely new candidate genes, and we hypothesize that rare variants within these genes contribute to the genetic predisposition. HEPH, CEPT1, and EIF3F represent highly plausible new candidate genes, given their previously described role in hair development and growth.” Furthermore, the results of the study suggest that genes that are known to cause rare inherited diseases affecting both skin and hair (such as the ectodermal dysplasias) may also play a role in the development of male-pattern hair loss. The researchers hope that the puzzle pieces they have discovered will improve understanding of the causes of hair loss, and thus facilitate reliable risk prediction and improved treatment strategies.

The research was supported by funding from the Medical Faculty of the University of Bonn. Prof. Dr. Markus Nöthen, Director of the Institute of Human Genetics at UKB and co-author of the study, is a member of the Transdisciplinary Research Area (TRA) “Life and Health” at the University of Bonn. The publication costs in open access format were funded by the DEAL project of the University of Bonn.


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The New York Fed DSGE Model Forecast— September 2023

This post presents an update of the economic forecasts generated by the Federal Reserve Bank of New York’s dynamic stochastic general equilibrium (DSGE)…

This post presents an update of the economic forecasts generated by the Federal Reserve Bank of New York’s dynamic stochastic general equilibrium (DSGE) model. We describe very briefly our forecast and its change since June 2023. As usual, we wish to remind our readers that the DSGE model forecast is not an official New York Fed forecast, but only an input to the Research staff’s overall forecasting process. For more information about the model and variables discussed here, see our DSGE model Q & A.

The New York Fed model forecasts use data released through 2023:Q2, augmented for 2023:Q3 with the median forecasts for real GDP growth and core PCE inflation from the Survey of Professional Forecasters (SPF), as well as the yields on ten-year Treasury securities and Baa-rated corporate bonds based on 2023:Q3 averages up to August 30. Moreover, starting in 2021:Q4, the expected federal funds rate between one and six quarters into the future is restricted to equal the corresponding median point forecast from the latest available Survey of Primary Dealers (SPD) in the corresponding quarter. The current projection can be found here.

The change in the forecast relative to June reflects the fact that the economy remains resilient in spite of the increasingly restrictive stance of monetary policy. Output growth is projected to be almost 1 percentage point higher in 2023 than forecasted in June (1.9 versus 1.0 percent) and somewhat higher than June for the rest of the forecast horizon (1.1, 0.7, and 1.2 percent in 2024, 2025, and 2026, versus 0.7, 0.4, and 0.9 in June, respectively). The probability of a not-so-soft recession, as defined by four-quarter GDP growth dipping below -1 percent by the end of 2023, has become negligible at 4.6 percent, down from 26 percent in June. According to the model, much of the resilience in the economy so far stems from the surprising strength in the financial sector, which counteracts the effects of the tightening in monetary policy. Inflation projections are close to what they were in June: 3.7 percent for 2023 (unchanged from the previous forecast), 2.2 percent for 2024 (down from 2.5 percent), and 2.0 percent for both 2025 and 2026 (down from 2.2 and 2.1 percent, respectively). The model still sees inflation returning close to the FOMC’s longer-run goal by the end of next year.

The output gap is projected to be somewhat higher over the forecast horizon than it was in June, consistent with the fact that the surprising strength of the economy is mainly driven by demand factors such as financial shocks, as opposed to supply factors. As in the June forecast, the gap gradually declines from its current positive value to a slightly negative value by 2025. The real natural rate of interest is estimated at 2.5 percent for 2023 (up from 2.2 percent in June), declining to 2.2 percent in 2024, 1.9 percent in 2025, and 1.6 percent in 2026. 

Forecast Comparison

Forecast Period2023202420252026
Date of ForecastSep 23Jun 23Sep 24Jun 24Sep 25Jun 25Sep 26Jun 26
GDP growth
(Q4/Q4)
1.9
 (0.2, 3.6) 
1.0
 (-1.9, 4.0) 
1.1
 (-4.0, 6.3) 
0.7
 (-4.2, 5.7) 
0.7
 (-4.4, 5.8) 
0.4
 (-4.7, 5.5) 
1.2
 (-4.2, 6.6) 
0.9
 (-4.5, 6.3) 
Core PCE inflation
(Q4/Q4)
3.7
 (3.4, 3.9) 
3.7
 (3.3, 4.2) 
2.2
 (1.5, 3.0) 
2.5
 (1.6, 3.3) 
2.0
 (1.1, 2.9) 
2.2
 (1.2, 3.1) 
2.0
 (1.0, 3.0) 
2.1
 (1.1, 3.2) 
Real natural rate of interest
(Q4)
2.5
 (1.3, 3.7) 
2.2
 (1.0, 3.5) 
2.2
 (0.8, 3.7) 
1.8
 (0.3, 3.2) 
1.9
 (0.3, 3.4) 
1.5
 (-0.1, 3.0) 
1.6
 (-0.0, 3.3) 
1.3
 (-0.4, 3.0) 
Source: Authors’ calculations.
Notes: This table lists the forecasts of output growth, core PCE inflation, and the real natural rate of interest from the September 2023 and June 2023 forecasts. The numbers outside parentheses are the mean forecasts, and the numbers in parentheses are the 68 percent bands.

Forecasts of Output Growth

Source: Authors’ calculations.
Notes: These two panels depict output growth. In the top panel, the black line indicates actual data and the red line shows the model forecasts. The shaded areas mark the uncertainty associated with our forecasts at 50, 60, 70, 80, and 90 percent probability intervals. In the bottom panel, the blue line shows the current forecast (quarter-to-quarter, annualized), and the gray line shows the June 2023 forecast.

Forecasts of Inflation

Source: Authors’ calculations.
Notes: These two panels depict core personal consumption expenditures (PCE) inflation. In the top panel, the black line indicates actual data and the red line shows the model forecasts. The shaded areas mark the uncertainty associated with our forecasts at 50, 60, 70, 80, and 90 percent probability intervals. In the bottom panel, the blue line shows the current forecast (quarter-to-quarter, annualized), and the gray line shows the June 2023 forecast.

Real Natural Rate of Interest

Source: Authors’ calculations.
Notes: The black line shows the model’s mean estimate of the real natural rate of interest; the red line shows the model forecast of the real natural rate. The shaded area marks the uncertainty associated with the forecasts at 50, 60, 70, 80, and 90 percent probability intervals.

Marco Del Negro is an economic research advisor in Macroeconomic and Monetary Studies in the Federal Reserve Bank of New York’s Research and Statistics Group.

photo of Gundam Pranay

Pranay Gundam is a research analyst in the Federal Reserve Bank of New York’s Research and Statistics Group.

Donggyu Lee is a research economist in Macroeconomic and Monetary Studies in the Federal Reserve Bank of New York’s Research and Statistics Group.

Ramya Nallamotu is a research analyst in the Federal Reserve Bank of New York’s Research and Statistics Group.

photo of Brian Pacula

Brian Pacula is a research analyst in the Federal Reserve Bank of New York’s Research and Statistics Group.

How to cite this post:
Marco Del Negro, Pranay Gundam, Donggyu Lee, Ramya Nallamotu, and Brian Pacula, “The New York Fed DSGE Model Forecast— September 2023,” Federal Reserve Bank of New York Liberty Street Economics, September 22, 2023, https://libertystreeteconomics.newyorkfed.org/2023/09/the-new-york-fed-dsge-model-forecast-september-2023/.


Disclaimer
The views expressed in this post are those of the author(s) and do not necessarily reflect the position of the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the author(s).

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