At 0.1%, its expense ratio is relatively low, especially for a fund offering exposure to the companies with the most growth potential. Like its benchmark index, the Vanguard Russell 2000 ETF has dropped by more than 2% during the first four months of 2024, as small-cap stocks have struggled. This software is a free and user-friendly tool that was developed by the Biometrics Unit at the International Rice Research Institute (IRRI) [103]. Using this software, the AMMI model and some stability statistics can be computed.

• Founded in 1988 (and formerly known as Institutional Premium Class fund), Fidelity removed this fund’s investment minimum so investors with any budget size could get into the low-cost index fund action.
• Therefore, the United States is widely considered to be a politically stable country; however, this is something that has been tested significantly during the past few years.
• When looking to see if your 401(k) offers stable value funds, keep in mind that they come in a variety of names.
• Because it is constructed according to market capitalization, the larger a company is, the greater the weight it will have in the index.
• The best index funds can help you build wealth by diversifying your portfolio while minimizing your fees.
• Walmart (WMT), with a market capitalization of about $569 billion, has only a 0.63% weighting in the S&P.

1. Non-Parametric Stability Statistics

Silvey [9] stated that GEI confounds partitioning of the contributions of improved cultivars and improved environment to the economic performance in different crop plants. The GEI has considerable effects on all stages of a breeding program and has several implications for the allocation of resources. For instance, a large GEI could mean the establishment of two target breeding environments (sites) in a region, instead of one, thus requiring increased input of resources [10]. The heritability of a quantitative trait such as grain yield plays a key role in determining genetic advances in the selection cycle. Indeed, heritability is the amount of phenotypic variation in a population that is attributable to individual genetic differences and is considered as a baseline of any breeding program [11]. As a component of the total phenotypic variance, the GEI has a negative effect on heritability.

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After then, Hussein et al. [106], Akbarpour et al. [107], and Dia et al. [108] developed other codes that enable breeders to calculate other stability statistics. Among these, the SAS macro code developed by Dia et al. [108]––which has been called SASG×E––is more complete compared to other codes. The capability of different software for computing the stability statistics.

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There are numerous reports in the literature on the applicability of this methodology in breeding programs. Hence, to show the importance of this graphical tool in various breeding programs, we have only highlighted some of the papers published during the last two years (2020–2022) for each crop (Table 2). The GGE biplot methodology is a graphical tool that superbly helps breeders to interpret the GEI in MET experiments. The first theory of this methodology was described by Yan [76], and then numerous studies used this method and reported its advantage compared with other numerical methods. The GGE biplot includes of a set of biplot interpretation models, whereby important questions regarding genotype and environment evaluation can be visually addressed [77]. The detailed description of this methodology and interpretation of each biplot can be found in the review of Yan and Tinker [77].

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• That means investors can keep all their cash invested for the long run.
• Burbano-Erazo et al. [65] used a set of AMMI-based methods to test the stability of common bean genotypes for heat and drought environments.
• You don’t need to buy all of them, but having exposure to many helps build a diversified portfolio.
• Because this statistic is calculated based on the AMMI model, it is denoted by W(AMMI).

Where SSIPCA1/SSIPCA2 is the ratio between the sum of squares from the first and second interaction principal component axis, and IPCA1 and IPCA2 are the genotypic scores of these components in the AMMI model. The genotype with the lowest value of this statistic would be more stable. In addition to the typical sectors represented by a Nasdaq index fund (such as IT, consumer services and health care), FNCMX also includes the real estate and material sectors. The S&P 500 Index is the most popular measure among financial professionals, while the general public might be more familiar with the Dow Jones Industrial Average (DJIA). For retirees who want to set aside a few years of living costs in cash, the stable value fund in a 401(k) might provide a higher yield than parking money in a money market mutual fund.

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Volatility profiles based on trailing-three-year calculations of the standard deviation of service investment returns. More money has been lost waiting to buy stocks than in holding stocks through downturns. Suppose blue was expected, and the red was actual, on plotting the distributions of the variables, one with larger PSI will have a larger gap between actuals and expected. In addition to monitoring the scoring variable, you also want to calculate the PSI for features as well. Because if a feature with strong predictive power is prone to rapid changes, we might rethink about having those features in the model.

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Afzl et al. [51] reported that among non-parametric stability statistics, S(1), S(3), S(6,) and NP(4) with a dynamic concept are superior to evaluate high-yielding and stable safflower genotypes. In another study in canola, Mortazavian and Azizinia [52] reported that for nonparametric methods, TOP, Si(1), and RK parameters were useful in detecting the stability of the genotypes. Non-parametric analysis of the phenotypic stability in chickpea genotypes showed that TOP and RK parameters are ideal measurements for identify the most stable genotypes [53]. Furthermore, Vaezi et al. [54] have highlighted the usefulness of RK, S(3), S(6), NP(2), NP(3), and NP(4) parameters in selecting high-yielding and stable barley genotypes across different diverse environments.

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In general, non-parametric stability parameters are easy to use and interpret. Furthermore, any deletions or additions of one or a few genotypes have no significant effects on the results. In this regard, if breeders are only interested in the existence of rank order differences across environments, these methods provide the best alternative to parametric models currently used. Hence, the relative comparisons of the tested genotypes are more important than absolute comparisons. As non-parametric methods are based on rank values, a target genotype is considered stable if it reveals a constant ranking pattern across different environments.

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Bonds funds offer higher yields, yes, but then you get more risk, too. Two stability indices, the GGE Distance (GGED) and GGE Instability index (GGEIN), can be calculated by the GGE biplot model. The GGED measures the distance of each genotype from the ‘‘ideal’’ genotype, which is defined as the virtual genotype that has the highest mean performance and stability. The GGEIN parameter approximates the genotype’s contribution to the GEI [78]. The GGE biplot methodology is one of the analytical tools, which alone or in combination with other methods is commonly used for the analysis of the GEI in various crops.

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• Hence, in each experiment, attention to the causes of GEI is very important and should be dissected.
• These tend to be good choices because they’re well diversified and allow you to lock in the historical growth of the domestic stock market.
• Meanwhile, the S&P 500 racked up total returns of about 447% during the same decade.
• Its benchmark index is the MSCI US Investable Market Real Estate 25/50 Index, which broadly tracks equity REITs in the U.S.
• Based on the AMMI’s output, several stability statistics have been proposed by different researchers for evaluating genotypes.
• Formally known as the Standard & Poor’s 500 Index, the S&P 500 serves as a quick snapshot of the state of the stock markets.

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Where λn and γin are the eigenvalue of the nth IPCA and the eigenvector value for the ith genotype. A genotype is considered to be more stable when the value of this statistic is lower. List of parametric and non-parametric stability statistics to analyze GEI effect in METs experiments. The investing information provided on this page is for educational purposes only.

This is calculated by taking an equal dollar amount of each stock and figuring out how many shares would be needed to reach that amount. For instance, an equal-weighted index where all components start at $1,000 would take 1,000 divided by the share price to get the number of shares needed. The S&P 500 is considered an effective representation of the economy due to its inclusion of 500 companies, which covers most U.S. industries. In contrast, the DJIA is made up of 30 companies, leading to a more narrow reflection.

This method, which is named Kang’s rank-sum (RK), uses both yield and Shukla’s stability variance (σ2i) as a selection index. This parameter gives a weight of one to both yield and stability statistics to identify high-yielding and stable genotypes. The genotype with the highest yield and lower σ2i are assigned a rank of one. Then, the ranks of yield and stability variance are added for each genotype and the genotypes with the lowest rank-sum are the most desirable.

Becker [8] stated that this concept is analogous to the agronomic concept of stability, and most breeders prefer to apply it to select high yielding genotypes in their METs. However, it is worth noting that there is no absolute decision on classifying stability parameters based on dynamic and static concepts. For instance, in many studies, some stability parameters have a dynamic concept due to their correlation with yield performance. Hence, we believe that dynamic and static concepts depend on the nature of data and test environments and that classifying them in an absolute scale is not logical. Stability analyses are evolving continuously to add precision to the GEI component.

To appreciate how stable value funds operate, it’s useful to first review the mechanics of how bond funds perform as a bond fund is the core component of a stable value fund. While high-quality bond funds are low-risk investments that are much less volatile than stocks, there’s still no guarantee that the value of a bond fund won’t decline when interest rates rise. Perhaps turn to stable value funds, a potential goldilocks solution that may already be available in your workplace retirement plan. Thematic investors wanting to capitalize on a long-term secular trend should check out the ROBO Global Robotics and Automation Index ETF (ROBO -0.54%). The index fund’s benchmark is the Robo Global Robotics and Automation Index, which tracks 77 robotics, automation, and artificial intelligence (AI) companies.

That is, it checks if the distribution of Y is different from the data on which the model was trained on. The United States is still widely considered to be the bastion of the Free World. Therefore, the United States is widely considered to be a politically stable country; however, this is something that has been tested significantly during the past few years. Efforts are being made to undermine free elections in the United States by casting doubt on whether the ballots that are cast are fair.

• Even though the country is still relatively stable, this is something that has been tested recently.
• In a comparative study, Anuradha et al. [71] used a set of AMMI- and BLUP-based stability statistics to select stable and high-yielding finger millet genotypes.
• When interest rates rise—and especially when bond yields are starting from very low levels—a bond fund’s total return can occasionally turn negative.
• This software is a free and user-friendly tool that was developed by the Biometrics Unit at the International Rice Research Institute (IRRI) [103].
• This review introduces a complete set of parametric and non-parametric methods and models with a selection pattern based on each of them.
• The main difference between MASV and ASV is the use of all significant IPCAs in the MASV statistic.
• Over the past thirty years, various macro codes have been released by researchers to compute some stability statistics.
• Hence, to show the importance of this graphical tool in various breeding programs, we have only highlighted some of the papers published during the last two years (2020–2022) for each crop (Table 2).

Burbano-Erazo et al. [65] used a set of AMMI-based methods to test the stability of common bean genotypes for heat and drought environments. They reported that the ASV and YSI parameters allow selecting stable genotypes across environments. Indeed, these parameters provided a measure of stability in a dynamic sense. The propensity to model the GEI led to the development of a series of methods and approaches called “stability analyses”, the concepts of which precede even analysis of variance (ANOVA) [5].

So you’ll need to know which market index you want your index fund to track before you start investing. If you don’t want to spend hours researching individual stocks, another option is to buy index funds — baskets of stocks that track broad-market indexes like the S&P 500. That means the index is continuously recalculated based on the number of shares available for trading.

A high value of TOP (genotype that occurred mostly in the top third) was revealed to be a widely adopted genotype. Matthew Schwartz, a certified financial planner (CFP) at Great Waters Financial in Richfield, Minn., suggests that stable value funds can be used as a “complement” to bond funds in your portfolio. While core bond funds can lose principal during periods of rising interest rates, those dips are typically small and infrequent. Moreover, if you switched your bond holdings exclusively to stable value funds, you’d miss out on gains when bonds rally.

As a result, many people are curious about the political stability of certain countries. When we are talking about political stability, we are referring to whether a country is prone to civil unrest and whether the government is prone to being overthrown. We are also talking about countries that have a peaceful transition of power whenever an election takes place.

Progress in computer sciences and programming languages has resulted in the advent of various script codes and software that help breeders to analyze the big data sets in their experiments. In other words, the breeder using these tools can better interpret the GEI effect and select the best genotypes with an acceptable accuracy. For AMGE1, N is one; for AMGEV, N is the number of IPCs that are retained in the AMMI model via validation procedures; for AMGEF, N is the number of IPC that retain in the AMMI model via F-tests. Farshadfar [41] developed a stability statistic based on the rank of mean yield of genotype across environments (RY) and rank of ASV value (RASV). According to this criterion, a genotype with the highest value of GSI would be more stable. As shown in the following equation, ith genotype is deleted from the entire set of data, and the GEI variance from this subset is the stability index for the ith genotype [18].

GENES is a software package used for data analysis and processing with different biometric models for genetic studies applied to plant and animal breeding. It allows parametric and non-parametric stability statistics to be computed Stable Index and presents integration with MS Word, MS Excel and Paint. It is also compatible with the free software R and Matlab, through the supply of useful scripts available for complementary analyses in different areas [99].

For instance, Zali et al. [42] used a set of AMMI-based stability statistics to identify of most stable chickpea genotypes. In a study conducted by Dehghani et al. [64], integrating parametric and nonparametric statistics results in identifying the most stable tall fescue genotypes in METs. Additionally, these authors declared that the GSI index with a dynamic concept of stability is an ideal parameter to select superior genotypes.

In this section we address how this methodology could help the breeder to interpret the GEI effect, and to select the ideal genotypes across different environments with high yield and the most stability. In the above formulas, GVij, μj, and E are the genotypic values (BLUP) for the ith genotype in the jth environment, the grand mean for each environment j, and the number of environments, respectively. As has been mentioned by Resende et al. [40], the highest values of these parameters are suitable. Where bi is slope regression, Xij is the grain yield of genotype ith in environment jth; X¯i. Is the mean grain yield of genotype ith; X¯.j is the mean grain yield of the environment jth; and X¯..

If a country is not politically stable, it is prone to having protests, riots, and even a full-out civil war in the worst situations. The main difference between MASV and ASV is the use of all significant IPCAs in the MASV statistic. Similar to ASV, a genotype with the lowest value of MASV will be selected as the most stable. In the race for the lowest of the low-cost index funds, this Fidelity fund made news by being among the first to charge no annual expenses. That means investors can keep all their cash invested for the long run. Below, we’re looking at some of the best index funds that track the S&P 500 and Nasdaq-100 indexes.

Where Rij is yield of ith genotype in the jth environment, mi is grand mean yield across all environments, and e is the number of environments. Derived stability measures include the square root value (S) and its coefficient of variation. As of Dec. 31, 2023, the index fund’s largest concentrations were in industrials (19.3%), financials (15%), and healthcare (14.8%).

There are numerous reports related to the use of non-parametric methods in analyzing the GEI effect and selection of stable genotypes in different crops. For instance, Ahmadi et al. [46] used a set of non-parametric methods to investigate stability of grain and forage yields in 14 advanced lines of grass pea in semi-warm regions of Iran for three consecutive years. According to their results, among non-parametric parameters, the TOP parameter showed a dynamic concept of stability and showed a strong correlation with grain and forage yields. In a study conducted by Karimizadeh et al. [47], non-parametric statistic S(6) showed a dynamic concept of stability and well-recognized high-yielding and stable lentil genotypes in a MET experiment. Khalili and Pour-Aboughadareh [48] evaluated yield stability and adaptability of 40 barley doubled haploid lines in eight environments, reporting a dynamic concept of stability for TOP parameter. However, Sabaghnia et al. [49] reported a positive correlation between grain yield and NP(2), NP(3), and NP(4) stability parameters in durum wheat genotypes, and also showed a dynamic concept of stability for these measurements.

The index structure can mask strength or weakness in smaller companies if the movements diverge from those of larger-cap companies. In 2022, the fund fell more than 18%, almost identical to the S&P 500’s losses for the year. Like its benchmark index, the fund was up about 12% in the first four-and-a-half months of 2024.