Infographic: Can Predictive Data Revolutionize Capital Markets?
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Can Predictive Data Revolutionize Capital Markets?



Can Predictive Data Revolutionize Capital Markets?

Can Predictive Data Revolutionize Capital Markets?

For investors around the world, the information age presents a double-edged sword.

On one hand, all this data can be harnessed to make intelligent and timely investment decisions. However, with data growing at exponential rates, this also means that there is a lot of noise – and finding the right signal can be like looking for a needle in a haystack.

Today’s infographic from Mergalim shows how the power of predictive data analytics is growing, and using tools like AI and Bayesian inference to anticipate the outcome of events before they happen is more feasible and applicable than ever.

The Big Data Landscape

Before we get into predictive analytics, let’s look at what investors are up against in the first place.

Volume: The rate of data creation is accelerating so fast, that in 2017 there will be more data created than the previous 5,000 years combined. To put this in perspective: in the U.S. alone, approximately 2,657,000 GB of data is created every minute.

Variety: Data is not uniform, and there are many types of data. With data coming from many sources simultaneously, useful analysis can be very difficult.

Velocity: Especially in the markets, data needs to be monitored in real-time to be useful. Getting information too late could mean zero liquidity for a portfolio in some sort of crisis.

In other words, one missed data signal can cause irreparable harm to a portfolio in a situation where things go awry. Therefore, along with having a smart allocation of assets, it can be advantageous to also be one step ahead of the game to know what’s coming.

The Power of Predictive Data

Predictive analytics is defined as:

“The branch of advanced analytics used to make predictions about unknown future events. It uses techniques from data mining, statistics, modelling, machine learning, and artificial intelligence to make predictions about the future.”

This kind of predictive power is already widely used by companies like Amazon, which uses algorithms to sort through billions of data points, your buying history, and current trends to recommend to you the items that you are most likely to buy. In fact, experts estimate that 35% of Amazon’s revenue comes from this practice of anticipating exactly what you want.

Not surprisingly, Wall Street has jumped on this bandwagon too.

  • Goldman Sachs famously employs more engineers than Facebook, Twitter, or LinkedIn.
  • Citadel, a secretive hedge fund, calculates the outcomes of more than 500 “doomsday scenarios” per day to assess potential risk for the firm from geopolitical and other potential crises
  • Quantitative traders use streams of data and complex algorithms to create models of the market to find predictable patterns, and create machine-derived forecasts

But there is one possible limitation with these approaches. Markets are complex systems and need to be analyzed as such. After all, human decision makers can be irrational, events can be “triggered” by seemingly random factors, and traditional mathematical models can fall apart when markets get volatile.

A Multi-Disciplinary Approach?

One solution to this limitation may be to borrow ideas from the intelligence industry, which must anticipate irrational or “random” human actions before they happen.

As an example of this, intelligence agencies like the CIA have already been working to apply other disciplines to the techniques already widely used in predictive data:

Bayesian Inference: A formula in which the probability for the hypothesis is updated based on new data.

Behavioral Psychology: The science behind how responses to environmental stimuli shape people’s actions.

Complexity Theory: Born in the 1960s, the science around how complex systems work is now well established.

Fuzzy Cognitive Maps: A way of representing social scientific knowledge and modelling decision making in systems.

Historical Perspective: Applying knowledge of past events and subject matter experts to these other disciplinary fields.

Artificial Intelligence: Today’s deep learning now allows AI to instantly recognize and process all types of previously impenetrable data.

If predictive data analytics becomes the norm and its potential is fully realized, having data only in real-time may not be enough for many active market participants. In turn, this could set up a very different landscape than exists today.

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Mapped: The Fastest (and Slowest) Internet Speeds in the World

Internet speeds vary depending on your location. Here’s a look at the countries with the fastest—and slowest—internet speeds worldwide.



Internet Speeds

Mapped: The World’s Fastest (and Slowest) Internet Speeds

How quickly did this page load for you?

The answer depends on the device you’re using, and where in the world you’re located. Average internet speeds vary wildly from country to country.

Which countries have the fastest internet connection? Using data from the Speedtest Global Index™, this map ranks the fastest (and slowest) internet speeds worldwide, comparing both fixed broadband and mobile.

What Factors Affect Internet Speed?

Before diving in, it’s important to understand the key factors that impact a country’s internet speed. Generally speaking, internet speed depends on:

  1. Infrastructure or the type of cabling (copper or fiber-optic) that a country’s utilizing to support their internet service. Typically, the newer the infrastructure, the faster the connection.
  2. Proximity/connection to submarine cables is important, as these massive undersea fiber-optic cables transmit about 97% of the world’s communication data.
  3. The size of a country, since landmass affects how much it costs to upgrade infrastructure. The smaller the country, the cheaper it is to upgrade cabling.
  4. Investment makes a difference, or how much a country’s government prioritizes internet accessibility.

Of course, other factors may influence a country’s internet speed too, such as government regulation and intentional bandwidth throttling, which is the case in countries like Turkmenistan.

Ranked: Fixed Broadband Internet Speeds

The Speedtest Global Index uses data from hundreds of millions of people, in more than 190 countries, to measure both fixed broadband and mobile connections.

When it comes to the fastest fixed broadband, Singapore comes in first place, with a download speed of 262.2 mbps—more than double the global average.

#CountryGlobal Speed (Mbps)
1🇸🇬 Singapore262.2
2🇭🇰 Hong Kong254.4
3🇲🇨 Monaco242.9
4🇨🇭 Switzerland222.0
5🇹🇭 Thailand221.0
6🇷🇴 Romania217.9
7🇰🇷 South Korea216.7
8🇩🇰 Denmark216.13
9🇨🇱 Chile209.8
10🇫🇷 France201.6
11🇭🇺 Hungary201.55
12🇺🇸 United States199
13🇦🇪 United Arab Emirates195.11
14🇱🇮 Liechtenstein194.77
15🇨🇳 China193.15
16🇪🇸 Spain187.36
17🇯🇵 Japan180.35
18🇨🇦 Canada176.46
19🇱🇺 Luxembourg173.16
20🇲🇴 Macau (SAR)170.84
21🇸🇪 Sweden167.29
22🇮🇱 Israel164.24
23🇳🇿 New Zealand164.16
24🇳🇱 Netherlands161.85
25🇳🇴 Norway161.61
26🇹🇼 Taiwan152
27🇵🇱 Poland147.45
28🇵🇹 Portugal145.96
29🇦🇩 Andorra145.18
30🇲🇹 Malta142.07
31🇰🇼 Kuwait141.42
32🇲🇩 Moldova139.61
33🇱🇹 Lithuania135.65
34🇱🇻 Latvia133.91
35🇵🇦 Panama131.35
36🇫🇮 Finland131.02
37🇩🇪 Germany130.76
38🇧🇪 Belgium121.81
39🇮🇪 Ireland117.4
40🇸🇲 San Marino114.24
41🇸🇮 Slovenia111.74
42🇧🇧 Barbados110.25
43🇶🇦 Qatar109.57
44🇧🇷 Brazil108.88
45🇸🇰 Slovakia106.12
46🇲🇾 Malaysia103.28
47🇬🇧 United Kingdom95.79
48🇮🇹 Italy94.3
49🇦🇹 Austria93.77
50🇷🇺 Russia93.37
51🇸🇦 Saudi Arabia91.65
52🇹🇹 Trinidad and Tobago87.42
53🇨🇿 Czechia86.29
54🇦🇺 Australia85.57
55🇪🇪 Estonia82.82
56🇯🇴 Jordan82.44
57🇷🇸 Serbia80.59
58🇧🇬 Bulgaria79.19
59🇻🇳 Vietnam75.3
60🇧🇭 Bahrain74.21
61🇺🇦 Ukraine73.89
62🇵🇾 Paraguay72.94
63🇵🇭 Philippines72.56
64🇧🇾 Belarus68.84
65🇨🇴 Colombia68.44
66🇴🇲 Oman65.3
67🇬🇾 Guyana63.2
68🇮🇳 India62.45
69🇺🇾 Uruguay61.23
70🇰🇿 Kazakhstan61.05
71🇽🇰 Kosovo60.86
72🇵🇪 Peru57.97
73🇦🇷 Argentina57.49
74🇨🇷 Costa Rica57.27
75🇬🇩 Grenada56.44
76🇧🇸 The Bahamas55.89
77🇭🇷 Croatia55.36
78🇿🇦 South Africa53.6
79🇲🇽 Mexico53.04
80🇻🇨 Saint Vincent and the Grenadines50.8
81🇲🇳 Mongolia50.52
82🇨🇾 Cyprus50.45
83🇬🇭 Ghana49.55
84🇱🇨 Saint Lucia49.5
85🇰🇬 Kyrgyzstan47.91
86🇲🇪 Montenegro47.39
87🇱🇦 Laos47.01
88🇲🇬 Madagascar45.98
89🇪🇬 Egypt44.09
90🇧🇦 Bosnia and Herzegovina43.1
91🇲🇭 Marshall Islands42.6
92🇦🇱 Albania41.47
93🇧🇿 Belize41.45
94🇺🇿 Uzbekistan40.64
95🇹🇷 Turkey40.58
96🇯🇲 Jamaica40
97🇧🇩 Bangladesh38.98
98🇲🇰 North Macedonia38.84
99🇪🇨 Ecuador37.53
100🇦🇲 Armenia37.21
101🇨🇮 Côte d'Ivoire35.41
102🇬🇷 Greece35.03
103🇸🇳 Senegal34.68
104🇩🇲 Dominica34.42
105🇧🇳 Brunei33.94
106🇹🇯 Tajikistan33.85
107🇸🇨 Seychelles33.27
108🇮🇶 Iraq33.13
109🇰🇳 Saint Kitts and Nevis32.78
110🇩🇴 Dominican Republic31.85
111🇳🇵 Nepal30.49
112🇳🇮 Nicaragua30.26
113🇧🇴 Bolivia27.06
114🇮🇩 Indonesia26.95
115🇬🇪 Georgia26.73
116🇸🇻 El Salvador26.41
117🇲🇦 Morocco26.4
118🇭🇳 Honduras26.17
119🇱🇰 Sri Lanka26.05
120🇰🇭 Cambodia25.82
121🇱🇷 Liberia25.65
122🇱🇸 Lesotho25.59
123🇧🇫 Burkina Faso25.52
124🇦🇿 Azerbaijan25.36
125🇵🇸 Palestine25.02
126🇨🇬 Congo (Brazzaville)24.12
127🇲🇺 Mauritius23.87
128🇪🇭 Western Sahara23.84
129🇬🇹 Guatemala23.82
130🇨🇻 Cape Verde23.78
131🇲🇻 Maldives23.72
132🇻🇪 Venezuela22.33
133🇧🇹 Bhutan21.79
134🇮🇷 Iran21.35
135🇫🇯 Fiji21.28
136🇬🇦 Gabon20.62
137🇹🇬 Togo20.61
138🇲🇱 Mali19.99
139🇲🇲 Republic of the Union of Myanmar19.78
140🇷🇼 Rwanda18.45
141🇳🇦 Namibia18.16
142🇳🇬 Nigeria18.15
143🇹🇿 Tanzania17.93
144🇩🇯 Djibouti17.75
145🇰🇪 Kenya17.41
146🇦🇬 Antigua and Barbuda17.11
147🇱🇧 Lebanon16.9
148🇧🇯 Benin16.81
149🇨🇲 Cameroon16.6
150🇫🇲 Micronesia16.56
151🇱🇾 Libya16.53
152🇵🇬 Papua New Guinea16.4
153🇻🇺 Vanuatu15.44
154🇦🇴 Angola15.04
155🇭🇹 Haiti14.93
156🇸🇷 Suriname14.93
157🇿🇼 Zimbabwe14.86
158🇸🇴 Somalia14.66
159🇺🇬 Uganda14.62
160🇪🇹 Ethiopia14.44
161🇲🇼 Malawi13.72
162🇵🇰 Pakistan13.5
163🇬🇶 Equatorial Guinea12.17
164🇸🇱 Sierra Leone12.13
165🇨🇩 DR Congo11.46
166🇲🇷 Mauritania11.08
167🇸🇾 Syria10.73
168🇿🇲 Zambia10.69
169🇸🇿 Swaziland (Eswatini)10.62
170🇧🇼 Botswana10.35
171🇹🇳 Tunisia10.3
172🇬🇲 The Gambia10.09
173🇩🇿 Algeria9.95
174🇧🇮 Burundi9.72
175🇦🇫 Afghanistan9.23
176🇸🇩 Sudan9.02
177🇲🇿 Mozambique8.84
178🇾🇪 Yemen5.95
179🇹🇲 Turkmenistan4.49
180🇨🇺 Cuba3.46

Size could be a factor in Singapore’s speedy internet, as it’s one of the smallest
and also densest countries in the world. With a landmass of just 280 square miles, it’s around the same size as Austin, Texas.

The country’s government has also prioritized investment in digital infrastructure, especially in recent years. In 2020, the Singaporean government promised to invest $2.52 billion towards digital innovation, with a portion dedicated to upgrading the country’s telecom infrastructure.

At the opposite end of the spectrum, Cuba has the slowest fixed broadband, with a speed of 3.46 mbps. Along with poor government funding, Cuba also has limited access to submarine cables. While most countries are connected to several, Cuba is only connected to one.

Ranked: Mobile Internet Speeds

Mobile internet uses cell towers to wirelessly transmit internet to your phone. Because of this extra element, the ranking for mobile internet speeds varies from fixed broadband.

#CountryGlobal Speed (Mbps)
1🇦🇪 United Arab Emirates195.52
2🇰🇷 South Korea192.16
3🇳🇴 Norway173.54
4🇶🇦 Qatar169.17
5🇨🇳 China163.45
6🇸🇦 Saudi Arabia149.95
7🇰🇼 Kuwait141.46
8🇨🇾 Cyprus136.18
9🇦🇺 Australia126.97
10🇧🇬 Bulgaria126.21
11🇨🇭 Switzerland115.83
12🇱🇺 Luxembourg110.67
13🇩🇰 Denmark103.35
14🇳🇱 Netherlands100.48
15🇴🇲 Oman97.81
16🇸🇪 Sweden97.06
17🇺🇸 United States96.31
18🇸🇬 Singapore91.75
19🇨🇦 Canada87.65
20🇫🇮 Finland83.01
21🇧🇭 Bahrain81.54
22🇹🇼 Taiwan81.32
23🇬🇧 United Kingdom80.82
24🇭🇷 Croatia78.91
25🇭🇰 Hong Kong78.75
26🇩🇪 Germany75.67
27🇳🇿 New Zealand73.17
28🇫🇷 France72.47
29🇬🇷 Greece70.71
30🇪🇪 Estonia70.44
31🇧🇪 Belgium70.24
32🇦🇹 Austria66.38
33🇱🇹 Lithuania63.03
34🇲🇴 Macau (SAR)62.43
35🇲🇹 Malta62.1
36🇧🇳 Brunei61.85
37🇯🇵 Japan61.32
38🇭🇺 Hungary58.9
39🇨🇿 Czechia58.46
40🇲🇻 Maldives58.3
41🇸🇮 Slovenia57.52
42🇲🇰 North Macedonia57.37
43🇷🇴 Romania55.93
44🇮🇪 Ireland55.39
45🇵🇱 Poland52.28
46🇸🇰 Slovakia51.49
47🇿🇦 South Africa50.44
48🇷🇸 Serbia50.34
49🇦🇱 Albania49.82
50🇹🇭 Thailand49.37
51🇪🇸 Spain48.14
52🇮🇹 Italy47.51
53🇹🇷 Turkey47.43
54🇮🇱 Israel46.02
55🇱🇻 Latvia45.29
56🇵🇹 Portugal43.41
57🇻🇳 Vietnam41.16
58🇲🇩 Moldova40.64
59🇹🇬 Togo40.32
60🇮🇶 Iraq40.21
61🇸🇷 Suriname39.54
62🇦🇿 Azerbaijan39.25
63🇺🇾 Uruguay39.04
64🇲🇱 Mali38.84
65🇲🇦 Morocco37.63
66🇹🇹 Trinidad and Tobago37.54
67🇯🇲 Jamaica36.77
68🇬🇪 Georgia36.53
69🇧🇼 Botswana35.38
70🇧🇦 Bosnia and Herzegovina34.97
71🇲🇽 Mexico34.49
72🇨🇷 Costa Rica34.39
73🇵🇭 Philippines33.77
74🇦🇲 Armenia33.71
75🇧🇷 Brazil33.47
76🇲🇺 Mauritius33.32
77🇹🇳 Tunisia33.01
78🇧🇸 The Bahamas32.63
79🇨🇲 Cameroon32.46
80🇮🇷 Iran32.3
81🇱🇧 Lebanon32.06
82🇱🇦 Laos32.04
83🇰🇿 Kazakhstan31.81
84🇺🇦 Ukraine31.2
85🇩🇴 Dominican Republic31.07
86🇬🇹 Guatemala30
87🇦🇷 Argentina29.6
88🇲🇪 Montenegro29.14
89🇲🇾 Malaysia29.14
90🇭🇳 Honduras28.69
91🇽🇰 Kosovo28.5
92🇷🇺 Russia28.16
93🇲🇲 Republic of the Union of Myanmar27.94
94🇯🇴 Jordan26.51
95🇫🇯 Fiji26.45
96🇳🇮 Nicaragua26
97🇵🇪 Peru25.46
98🇨🇺 Cuba25.21
99🇸🇻 El Salvador25.17
100🇪🇨 Ecuador24.98
101🇰🇬 Kyrgyzstan24.95
102🇪🇬 Egypt24.48
103🇦🇴 Angola23.98
104🇰🇭 Cambodia23.71
105🇳🇬 Nigeria23.59
106🇪🇹 Ethiopia23.19
107🇧🇴 Bolivia23.17
108🇲🇳 Mongolia23.11
109🇭🇹 Haiti22.52
110🇸🇳 Senegal22.48
111🇰🇪 Kenya22.22
112🇮🇩 Indonesia21.96
113🇨🇱 Chile21.28
114🇳🇵 Nepal20.9
115🇵🇾 Paraguay20.8
116🇳🇦 Namibia20.74
117🇲🇿 Mozambique20.55
118🇵🇦 Panama20.44
119🇸🇾 Syria20.09
120🇵🇰 Pakistan19.79
121🇺🇬 Uganda18.97
122🇺🇿 Uzbekistan18.92
123🇨🇴 Colombia18.67
124🇧🇾 Belarus18.66
125🇨🇮 Côte d'Ivoire18.37
126🇮🇳 India17.96
127🇩🇿 Algeria17.31
128🇱🇾 Libya17.22
129🇿🇲 Zambia16.05
130🇱🇰 Sri Lanka16.02
131🇹🇯 Tajikistan15.7
132🇸🇩 Sudan15.66
133🇹🇿 Tanzania14.48
134🇸🇴 Somalia14.23
135🇿🇼 Zimbabwe13.71
136🇬🇭 Ghana13.17
137🇧🇩 Bangladesh12.92
138🇵🇸 Palestine8.11
139🇻🇪 Venezuela7.41
140🇦🇫 Afghanistan7.07

The United Arab Emirates (UAE) is first on the list, with a download speed of 195.5 mbps. Not only is mobile data fast in the UAE, it’s also relatively cheap, compared to other countries on the ranking. The average cost of 1 GB of data in the UAE is around $3.78, while in South Korea (#2 on the list) it’s $10.94.

The Future is 5G

Innovation and new technologies are changing the digital landscape, and things like 5G networks are becoming more mainstream across the globe.

Because of the rapidly changing nature of this industry, the data behind this ranking is updated monthly to provide the latest look at internet speeds across the globe.

This means the bar is gradually raising when it comes to internet speed, as faster, stronger internet connections become the norm. And countries that aren’t equipped to handle these souped-up networks will lag behind even further.

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Ranked: Big Tech CEO Insider Trading During the First Half of 2021

Big Tech is worth trillions, but what are insiders doing with their stock? We breakdown Big Tech CEO insider trading during the first half of 2021.



Big Tech CEO Insider Trading During The First Half of 2021

When CEOs of major companies are selling their shares, investors can’t help but notice.

After all, these decisions have a direct effect on the personal wealth of these insiders, which can say plenty about their convictions with respect to the future direction of the companies they run.

Considering that Big Tech stocks are some of the most popular holdings in today’s portfolios, and are backed by a collective $5.3 trillion in institutional investment, how do the CEOs of these organizations rank by their insider selling?

CEOStockShares Sold H1 2021Value of Shares ($M)
Jeff BezosAmazon (AMZN)2.0 million$6,600
Mark ZuckerbergFacebook (FB)7.1 million$2,200
Satya NadellaMicrosoft (MSFT)278,694
Sundar PichaiGoogle (GOOGL)27,000$62
Tim CookApple (AAPL)0$0

Breaking Down Insider Trading, by CEO

Let’s dive into the insider trading activity of each Big Tech CEO:

Jeff Bezos

During the first half of 2021, Jeff Bezos sold 2 million shares of Amazon worth $6.6 billion.

This activity was spread across 15 different transactions, representing an average of $440 million per transaction. Altogether, this ranks him first by CEO insider selling, by total dollar proceeds. Bezos’s time as CEO of Amazon came to an end shortly after the half way mark for the year.

Mark Zuckerberg

In second place is Mark Zuckerberg, who has been significantly busier selling than the rest.

In the first half of 2021, he unloaded 7.1 million shares of Facebook onto the open market, worth $2.2 billion. What makes these transactions interesting is the sheer quantity of them, as he sold on 136 out of 180 days. On average, that’s $12 million worth of stock sold every day.

Zuckerberg’s record year of selling in 2018 resulted in over $5 billion worth of stock sold, but over 90% of his net worth still remains in the company.

Satya Nadella

Next is Satya Nadella, who sold 278,694 shares of Microsoft, worth $234 million. Despite this, the Microsoft CEO still holds an estimated 1.6 million shares, which is the largest of any insider.

Microsoft’s stock has been on a tear for a number of years now, and belongs to an elite trillion dollar club, which consists of only six public companies.

Sundar Pichai

Fourth on the list is Sundar Pichai who has been at the helm at Google for six years now. Since the start of 2021, he’s sold 27,000 shares through nine separate transactions, worth $62.5 million. However, Pichai still has an estimated 6,407 Class A and 114,861 Class C shares.

Google is closing in on a $2 trillion valuation and is the best performing Big Tech stock, with shares rising 60% year-to-date. Their market share growth from U.S. ad revenues is a large contributing factor.

Tim Cook

Last, is Tim Cook, who just surpassed a decade as Apple CEO.

During this time, shares have rallied over 1,000% and annual sales have gone from $100 billion to $347 billion. That said, Cook has sold 0 shares of Apple during the first half of 2021. That doesn’t mean he hasn’t sold shares elsewhere, though. Cook also sits on the board of directors for Nike, and has sold $6.9 million worth of shares this year.

Measuring Insider Selling

All things equal, it’s desirable for management to have skin in the game, and be invested alongside shareholders. It can also be seen as aligning long-term interests.

A good measure of insider selling activity is in relation to the existing stake in the company. For example, selling $6.6 billion worth of shares may sound like a lot, but when there are 51.7 million Amazon shares remaining for Jeff Bezos, it actually represents a small portion and is probably not cause for panic.

If, however, executives are disclosing large transactions relative to their total stakes, it might be worth digging deeper.

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