Statistics of Price Movements of Cemex S.A.B. DE C.V. (CX)

The price movements of Cemex S.A.B. DE C.V. (ticker CX) are summarized in five ways:

• Table 1. Statistics of daily price changes using the closing prices
• Table 2. Statistics of daily price changes using the closing and opening prices
• Table 3 – 7. Statistics of daily price changes when CX opened with an increase of 1%, 2%, 3%, 4%, or more than 5%
• Table 8 – 10. Statistics of stock price changes in the 20 days after CX had a big price move
• Table 11. Statistics of daily price changes in the 20 days after CX moved 5% with twice the 30-day average volume

The statistics are calculated using CX's price data across 1,549 trading days from 2015 to 2020.

Table 1. Statistics of CX one-day price changes

In this table, the one-day price change is calculated using the closing price and the previous day's closing price.

In the past 1,549 trading days, 45.7% of the time (707 days), CX closed above the previous day's closing price. 48.1% of the time (744 days), it closed below the previous day's closing price. 6.3% of the time (97 days), it did not change.

Also see: VIX price movement study.

CX Price Change (%)	Number of Days	% of Total Sessions
15 – 16%	2	0.13%
13 – 14%	1	0.06%
12 – 13%	3	0.19%
11 – 12%	3	0.19%
9 – 10%	4	0.26%
8 – 9%	6	0.39%
7 – 8%	7	0.45%
6 – 7%	13	0.84%
5 – 6%	26	1.68%
4 – 5%	34	2.20%
3 – 4%	74	4.78%
2 – 3%	117	7.56%
1 – 2%	195	12.60%
0 – 1%	222	14.34%
0%	97	6.27%
0 – -1%	239	15.44%
-1 – -2%	204	13.18%
-2 – -3%	135	8.72%
-3 – -4%	69	4.46%
-4 – -5%	35	2.26%
-5 – -6%	24	1.55%
-6 – -7%	13	0.84%
-7 – -8%	12	0.78%
-8 – -9%	6	0.39%
-9 – -10%	4	0.26%
-12 – -13%	1	0.06%
-13 – -14%	1	0.06%
-21 – -22%	1	0.06%

Table 2. Statistics of CX: Closing vs. Open

In this table, instead of using the closing price of the previous day, the opening price is used to calculate the one-day price change of CX.

45.4% of the time (703 days), CX closed above the opening price. 47.5% of the time (736 days), it closed below the opening price. 7.1% of the time (110 days), it closed where it started.

Closing - Open (%)	Number of Days	% of Total Sessions
13 – 14%	2	0.13%
11 – 12%	1	0.06%
10 – 11%	2	0.13%
9 – 10%	2	0.13%
8 – 9%	2	0.13%
7 – 8%	6	0.39%
6 – 7%	9	0.58%
5 – 6%	14	0.90%
4 – 5%	32	2.07%
3 – 4%	50	3.23%
2 – 3%	116	7.49%
1 – 2%	205	13.23%
0 – 1%	262	16.91%
0%	110	7.10%
0 – -1%	246	15.88%
-1 – -2%	233	15.04%
-2 – -3%	113	7.30%
-3 – -4%	72	4.65%
-4 – -5%	35	2.26%
-5 – -6%	18	1.16%
-6 – -7%	9	0.58%
-7 – -8%	7	0.45%
-8 – -9%	1	0.06%
-9 – -10%	2	0.13%

Table 3. One-day performance when CX opened 5% higher than previous close

In the past 1,549 trading days, CX opened more than 5% higher than the previous day's closing price 10 times. Of these days, 40.0% (4 days) had closing prices above the opening price, and 40.0% (4 days) had closing prices below the opening price.

Closing - Open (%)	Number of Days	% of Total Sessions
6 – 7%	1	10.00%
2 – 3%	1	10.00%
1 – 2%	1	10.00%
0 – 1%	1	10.00%
0%	2	20.00%
0 – -1%	1	10.00%
-1 – -2%	2	20.00%
-4 – -5%	1	10.00%

Table 4. Closing vs. open when CX opened 4–5% higher

On 9 days, CX opened 4–5% higher than the previous day's closing price. Of these days, 44.4% (4 days) had closing prices above the opening price, and 33.3% (3 days) had closing prices below the opening price.

Closing - Open (%)	Number of Days	% of Total Sessions
7 – 8%	1	11.11%
4 – 5%	1	11.11%
1 – 2%	2	22.22%
0%	2	22.22%
0 – -1%	2	22.22%
-7 – -8%	1	11.11%

Table 5. Closing vs. open when CX open 3 – 4% higher

22 times CX opened 3 – 4% higher than the previous day's closing price. Among these days, 54.5% (12 days) closed above the opening price, 45.5% (10 days) closed below the opening price.

Closing - Open (%)	Number of Days	% of Total Sessions
9 – 10%	1	4.55%
8 – 9%	1	4.55%
5 – 6%	1	4.55%
4 – 5%	1	4.55%
3 – 4%	1	4.55%
2 – 3%	1	4.55%
1 – 2%	5	22.73%
0 – 1%	1	4.55%
0 – -1%	2	9.09%
-1 – -2%	2	9.09%
-2 – -3%	2	9.09%
-4 – -5%	3	13.64%
-9 – -10%	1	4.55%

Table 6. Closing vs. open when CX open 2 – 3% higher

43 times CX opened 2 – 3% higher than the previous day's closing price. Among these days, 48.8% (21 days) closed above the opening price, 51.2% (22 days) closed below the opening price.

Closing - Open (%)	Number of Days	% of Total Sessions
13 – 14%	1	2.33%
8 – 9%	1	2.33%
6 – 7%	2	4.65%
4 – 5%	3	6.98%
3 – 4%	3	6.98%
2 – 3%	2	4.65%
1 – 2%	5	11.63%
0 – 1%	4	9.30%
0 – -1%	8	18.60%
-1 – -2%	5	11.63%
-2 – -3%	3	6.98%
-3 – -4%	2	4.65%
-4 – -5%	1	2.33%
-5 – -6%	2	4.65%
-9 – -10%	1	2.33%

Table 7. Closing vs. open when CX open 1 – 2% higher

182 times CX opened 1 – 2% higher than the previous day's closing price. Among these days, 54.9% (100 days) closed above the opening price, 41.2% (75 days) closed below the opening price.

Closing - Open (%)	Number of Days	% of Total Sessions
13 – 14%	1	0.55%
10 – 11%	1	0.55%
7 – 8%	1	0.55%
6 – 7%	2	1.10%
5 – 6%	3	1.65%
4 – 5%	6	3.30%
3 – 4%	10	5.49%
2 – 3%	19	10.44%
1 – 2%	22	12.09%
0 – 1%	35	19.23%
0%	7	3.85%
0 – -1%	22	12.09%
-1 – -2%	29	15.93%
-2 – -3%	8	4.40%
-3 – -4%	8	4.40%
-4 – -5%	6	3.30%
-5 – -6%	1	0.55%
-7 – -8%	1	0.55%

Table 8. Periods when CX moved 15% or more

In this table, we track the price movements in the 20 days after CX had a one-day price change of at least 15%.

Date	Price Change	Price Change after 15% Move
Days after:		1	4	7	10	13	16	19
20200331	15.8%	-9.9	-8.0	6.1	-.5	2.4	-8.5	-9.0
20200326	15%	-7.0	-4.0	-2.0	13.1	6.0	9.0	-2.5
20200316	-21.5%	12.4	-10.4	-10.4	-5.2	-2.6	6.7	16.6

Table 8a. CX average price changes following a 15% up day

Of the 1,549 trading days from 2015 to 2020, there were 2 days in which CX was up more than 15%. This table shows the average price changes over the 2 days.

Average Type	Average Price Change
Days after:	1	4	7	10	13	16	19
Avg for Change ≥ 15%	-8.5	-6.0	2.1	6.3	4.2	.3	-5.7

Table 8b. CX average price changes following a 15% down day

Of the 1,549 trading days from 2015 to 2020, there were 1 days in which CX was down more than -15%. This table shows the average price changes over the 1 days.

Average Type	Average Price Change
Days after:	1	4	7	10	13	16	19
Avg for Change ≥ -15%	12.4	-10.4	-10.4	-5.2	-2.6	6.7	16.6

Table 9. Periods when CX moved 10% or more

In this table, we track the price movements in the 20 days after CX had a one-day price change of at least 10%.

Date	Price Change	Price Change after 10% Move
Days after:		1	4	7	10	13	16	19
20200331	15.8%	-9.9	-8.0	6.1	-.5	2.4	-8.5	-9.0
20200326	15%	-7.0	-4.0	-2.0	13.1	6.0	9.0	-2.5
20150205	13.5%	-.8	-4.6	-1.4	-1.5	3.5	1.7	-1.9
20200317	12.4%	-8.3	-24.9	-8.3	-2.3	-19.8	-2.3	.9
20200406	12%	5.6	15.4	5.6	7.7	-1.5	7.2	5.1
20200727	12%	-2.5	-3.5	3.5	6.0	6.0	9.1	9.1
20160217	11.9%	-4.2	1.1	3.4	11.6	18.8	16.3	13.5
20160204	11.8%	-3.5	-15.6	-13.1	-3.1	2.3	4.6	12.9
20200602	11.7%	6.5	14.2	-5.1	3.3	4.0	.7	3.3
20200309	-12.3%	5.9	-3.9	-22.3	-36.3	-22.3	-17.2	-32.0
20160624	-13.5%	-6.6	4.9	-1.2	6.5	13.8	20.6	15.5
20200316	-21.5%	12.4	-10.4	-10.4	-5.2	-2.6	6.7	16.6

Table 9a. CX average price changes following a 10% up day

Of the 1,549 trading days from 2015 to 2020, there were 9 days in which CX was up more than 10%. This table shows the average price changes over the 9 days.

Average Type	Average Price Change
Days after:	1	4	7	10	13	16	19
Avg for Change ≥ 10%	-2.7	-3.3	-1.2	3.8	2.4	4.2	3.5

Table 9b. CX average price changes following a 10% down day

Of the 1,549 trading days from 2015 to 2020, there were 3 days in which CX was down more than -10%. This table shows the average price changes over the 3 days.

Average Type	Average Price Change
Days after:	1	4	7	10	13	16	19
Avg for Change ≥ -10%	3.9	-3.1	-11.3	-11.7	-3.7	3.4	.0

Table 10. Periods when CX moved 5% or more

In this table, we track the price movements in the 20 days after CX had a one-day price change of at least 5%.

Date	Price Change	Price Change after 5% Move
Days after:		1	4	7	10	13	16	19
20200331	15.8%	-9.9	-8.0	6.1	-.5	2.4	-8.5	-9.0
20200326	15%	-7.0	-4.0	-2.0	13.1	6.0	9.0	-2.5
20150205	13.5%	-.8	-4.6	-1.4	-1.5	3.5	1.7	-1.9
20200317	12.4%	-8.3	-24.9	-8.3	-2.3	-19.8	-2.3	.9
20200406	12%	5.6	15.4	5.6	7.7	-1.5	7.2	5.1
20200727	12%	-2.5	-3.5	3.5	6.0	6.0	9.1	9.1
20160217	11.9%	-4.2	1.1	3.4	11.6	18.8	16.3	13.5
20160204	11.8%	-3.5	-15.6	-13.1	-3.1	2.3	4.6	12.9
20200602	11.7%	6.5	14.2	-5.1	3.3	4.0	.7	3.3
20200417	9.5%	-3.2	-11.5	-3.7	-5.5	-4.1	.5	-11.1
20190829	9.1%	5.0	5.0	10.6	8.4	13.4	15.1	12.0
20200612	9.1%	-5.6	2.5	1.1	-3.9	-3.5	-2.5	-7.4
20201201	9.1%
20200910	8.6%	8.3	14.0	4.3	1.7	3.4	7.7	10.9
20200527	8.5%	-.4	13.6	24.8	14.0	11.2	20.7	19.0
20150827	8.4%	.0	-1.7	-4.3	1.0	2.3	.3	-8.6
20200428	8.2%	6.7	2.9	1.9	1.0	-6.7	1.0	1.4
20200911	8.2%	4.0	2.9	-3.2	-5.3	.3	4.7	7.9
20170301	8%	-5.5	-2.8	-5.8	-2.8	-.5	-3.3	-4.0
20161107	7.9%	-.1	-17.4	-14.2	-12.2	-12.3	-12.8	-12.9
20160203	7.6%	11.8	-4.7	-2.8	13.1	17.6	17.2	25.8
20151223	7.5%	-.9	-5.3	-2.1	-10.4	-23.9	-21.8	-28.3
20160222	7.4%	-2.7	-.5	7.3	14.3	11.9	9.1	26.1
20181101	7.3%	.0	4.3	-7.0	-7.8	-9.8	-12.2	-9.1
20200117	7.3%	.0	.7	3.3	-4.0	-.5	-1.4	-6.2
20200324	7.3%	-1.1	4.6	7.4	17.7	28.6	17.7	20.0
20150728	6.7%	1.8	.4	-1.3	-3.3	-3.8	-6.2	-18.2
20160121	6.7%	2.6	-3.5	3.8	22.4	4.2	6.4	23.8
20201109	6.7%	6.3	3.5	12.6	7.7	9.6	17.0	30.5
20200429	6.6%	-4.9	-1.3	-.9	-13.5	-8.5	-3.1	.0
20201203	6.6%
20170120	6.5%	-.1	3.7	4.8	4.3	-1.6	2.8	-1.4
20200603	6.5%	-2.4	-.7	-2.7	-3.1	.0	-1.7	-1.7
20190610	6.2%	-3.2	-5.0	-5.5	-5.2	-4.1	-2.3	-2.1
20201110	6.2%	-1.1	-1.3	2.6	7.0	2.6	9.2	23.5
20160318	6.1%	3.3	1.7	3.0	5.2	2.8	2.3	5.2
20200409	6.1%	.0	-8.4	-6.7	-14.7	-7.1	-8.9	-7.6
20160129	6%	-2.6	14.8	-2.2	-.2	16.1	20.8	20.3
20200520	6%	2.4	5.7	13.7	38.9	48.8	23.7	34.6
20200116	5.9%	7.4	8.2	5.9	7.1	9.2	6.6	5.1
20160212	5.8%	.0	11.5	17.7	20.4	29.9	38.3	35.4
20200310	5.8%	-4.1	-28.8	-31.4	-35.4	-31.7	-29.5	-28.0
20190325	5.7%	-1.9	-3.3	.0	6.2	-.4	1.5	1.7
20180301	5.6%	.0	-.1	4.6	3.0	-3.6	.3	-5.8
20200407	5.6%	2.9	6.3	-3.9	-4.4	-9.7	8.3	4.4
20201124	5.6%
20160301	5.5%	.3	6.8	4.6	2.1	17.9	16.9	20.5
20181128	5.5%	3.9	-.6	2.0	-4.3	-5.5	-2.2	-4.7
20200605	5.5%	4.0	-13.6	-6.0	-5.3	-8.3	-6.0	-6.6
20200616	5.5%	.0	3.2	1.4	1.4	1.1	-6.7	-3.2
20180827	5.4%	-3.1	-3.8	-8.0	-7.9	-4.1	-2.4	-4.2
20201008	5.4%	-1.0	-2.4	-1.0	3.2	-2.7	1.5	-2.0
20201204	5.4%
20180726	5.3%	.3	.0	1.1	-4.4	-5.0	-9.7	-4.2
20201005	5.3%	-3.3	2.0	.5	2.0	6.3	.3	4.5
20151231	5.2%	.0	-8.4	-22.3	-20.1	-26.8	-21.7	-26.4
20151117	5.1%	1.0	2.9	5.8	5.9	1.0	-5.3	-15.1
20160927	5.1%	2.0	-.1	2.9	5.7	5.3	11.8	15.2
20180705	5.1%	-.1	-.4	-3.9	-4.2	.0	6.9	6.6
20200526	5.1%	8.5	10.3	28.3	30.5	27.8	27.4	31.4
20160126	5%	-1.7	5.8	24.7	6.2	8.4	26.1	31.2
20160307	5%	-5.6	-2.6	-.5	14.1	12.3	13.8	16.2
20190830	5%	.0	3.5	7.7	5.3	6.1	7.5	6.1
20190904	5%	3.5	7.7	5.3	6.1	7.5	6.1	1.3
20200715	5%	.3	-2.1	-2.1	9.3	8.0	13.8	17.0
20161214	-5%	-1.4	-2.8	-5.9	-3.9	-3.4	-4.2	-6.1
20181204	-5%	.0	-2.9	-5.5	-2.2	-2.2	-2.5	-1.4
20160323	-5.1%	2.6	3.9	6.1	3.7	3.2	6.1	10.2
20190805	-5.1%	.6	1.9	-4.5	-3.5	1.0	3.2	21.0
20200610	-5.1%	-5.4	2.9	3.6	.4	2.9	2.2	-.4
20150130	-5.2%	1.7	12.3	9.4	10.7	10.8	13.2	15.5
20181112	-5.2%	-1.2	.4	-7.0	-9.3	1.6	-2.8	-.2
20200212	-5.2%	-4.1	-8.3	-8.0	-18.0	-18.0	-22.6	-34.2
20181210	-5.3%	-1.5	-2.1	1.7	-1.3	.8	1.5	3.4
20200831	-5.3%	2.5	-.9	9.0	24.3	19.3	10.0	15.9
20170302	-5.4%	2.3	.3	1.0	5.4	2.0	2.7	3.6
20200506	-5.4%	2.4	1.4	-6.3	1.4	1.9	15.9	32.2
20200611	-5.4%	9.2	8.8	12.3	10.3	10.3	10.0	1.5
20160119	-5.5%	-2.5	-2.7	4.7	5.9	23.0	7.6	10.8
20160308	-5.5%	3.1	4.1	10.2	22.2	19.0	22.7	21.0
20160705	-5.5%	1.0	12.7	16.7	16.0	18.8	22.2	30.8
20160909	-5.5%	2.9	-3.2	-5.5	-.9	3.8	1.7	4.7
20180208	-5.6%	1.0	3.5	1.5	-2.0	-8.6	-6.0	-6.1
20181108	-5.6%	-.2	-6.6	-6.4	-12.0	-12.4	-3.4	-8.1
20200615	-5.6%	5.6	6.3	3.0	5.6	4.8	2.2	1.5
20151113	-5.7%	1.3	9.0	10.8	12.6	9.9	4.2	-.5
20170503	-5.7%	-1.8	-.1	-.3	-3.5	-3.2	-4.6	-3.8
20200323	-5.7%	7.4	13.5	17.2	19.6	38.0	29.4	33.1
20201104	-5.8%	3.0	13.7	10.7	20.4	15.2	17.2	25.2
20181018	-6%	.7	-8.4	-16.6	-7.7	-4.3	-9.4	-15.2
20160104	-6.1%	-1.3	-17.6	-18.0	-17.4	-18.7	-20.3	-13.4
20200421	-6.1%	-1.5	-2.0	7.6	11.7	12.2	-2.0	3.6
20150306	-6.2%	.5	4.8	3.7	2.4	5.0	2.6	5.1
20190709	-6.3%	-.7	1.5	-6.2	-8.0	-9.5	-11.2	-22.7
20150204	-6.5%	13.5	10.7	11.9	12.1	14.4	16.8	13.5
20151022	-6.5%	-.3	-5.4	-9.1	-7.9	-14.9	-20.9	-14.9
20151211	-6.5%	-2.7	3.9	2.7	9.5	2.7	1.6	-10.1
20200319	-6.5%	-7.0	-7.0	-1.6	1.1	10.8	21.0	10.8
20160627	-6.6%	3.6	12.0	6.9	19.3	23.5	22.8	25.7
20160108	-6.9%	.5	3.2	-5.3	1.2	-4.9	2.3	20.6
20191024	-6.9%	2.1	-1.5	-.8	-.5	-6.9	-5.4	-7.4
20200320	-6.9%	-5.8	15.0	22.5	.6	22.5	26.6	14.5
20150811	-7%	.0	-1.6	-7.4	-14.5	-5.0	-6.6	-9.0
20150821	-7%	-1.6	10.5	4.6	5.8	8.8	12.8	15.3
20200327	-7%	-1.1	1.6	11.4	21.6	11.4	13.5	3.8
20161109	-7.1%	-9.7	-8.0	-7.6	-5.5	-5.8	-7.2	-1.6
20190207	-7.1%	-1.6	-2.2	-.4	1.2	-.4	-1.4	-4.0
20200226	-7.1%	-4.4	1.2	-13.6	-23.1	-42.9	-45.0	-48.2
20181029	-7.2%	3.9	10.6	15.3	2.9	2.0	-.2	-2.9
20150724	-7.3%	-2.5	3.6	2.0	6.1	.6	-1.0	-6.8
20200609	-7.3%	-5.2	-7.6	.3	-1.0	-5.8	-5.5	-4.5
20200403	-7.4%	12.1	29.3	21.3	24.7	11.5	10.9	21.8
20150901	-7.5%	3.9	1.1	6.7	8.1	5.9	-3.4	-8.8
20190322	-7.5%	5.7	.4	4.8	9.5	8.8	5.7	7.5
20200305	-8%	-8.5	-18.5	-39.5	-41.7	-45.1	-42.0	-40.1
20200318	-8.2%	-6.5	-12.1	-7.0	-4.0	-2.0	13.1	6.0
20200306	-8.4%	-12.3	-19.5	-25.7	-40.8	-40.8	-37.3	-35.6
20200513	-8.5%	.0	3.1	9.8	25.4	27.5	48.2	50.8
20160208	-8.7%	-3.3	-1.3	14.8	19.4	19.0	27.7	29.9
20160125	-8.9%	5.0	14.1	17.1	15.4	7.6	18.4	28.2
20160107	-9.2%	-6.9	-7.3	-6.7	-8.2	-9.9	-2.2	.4
20200312	-9.6%	4.7	-15.3	-30.6	-15.3	-9.8	-26.0	-9.8
20161110	-9.7%	-1.3	2.4	4.8	4.6	4.1	4.0	13.1
20200401	-9.9%	-1.6	7.9	17.8	7.9	9.9	.5	9.4
20200309	-12.3%	5.9	-3.9	-22.3	-36.3	-22.3	-17.2	-32.0
20160624	-13.5%	-6.6	4.9	-1.2	6.5	13.8	20.6	15.5
20200316	-21.5%	12.4	-10.4	-10.4	-5.2	-2.6	6.7	16.6

Table 10a. CX average price changes following a 5% up day

Of the 1,549 trading days from 2015 to 2020, there were 65 days in which CX was up more than 5%. This table shows the average price changes over the 65 days.

Average Type	Average Price Change
Days after:	1	4	7	10	13	16	19
Avg for Change ≥ 5%	.1	-.1	1.2	2.4	2.5	3.7	4.2

Table 10b. CX average price changes following a 5% down day

Of the 1,549 trading days from 2015 to 2020, there were 62 days in which CX was down more than -5%. This table shows the average price changes over the 62 days.

Average Type	Average Price Change
Days after:	1	4	7	10	13	16	19
Avg for Change ≥ -5%	.2	.9	.4	1.3	1.8	2.2	3.1

28 stocks with statistics: AAPL, AMD, AMZN, APPN, AZN, BA, BAC, BIIB, CRM, CSCO, CX, DIS, FB, GE, GM, GOOG, IBM, INTC, JPM, JPM, MSFT, MU, NFLX, O, QQQ, SPY, T, TSLA,

Also see: VIX price movement study.